International Center for Computational Logic - Benutzerbeiträge [de]

Inproceedings3454

2026-01-13T12:27:17Z

Philipp Hanisch:

{{Publikation Erster Autor
|ErsterAutorVorname=Philipp
|ErsterAutorNachname=Hanisch
|FurtherAuthors=Markus Krötzsch
}}
{{Inproceedings
|Referiert=1
|Title=Rule Rewriting Revisited: A Fresh Look at Static Filtering for Datalog and ASP
|To appear=1
|Year=2026
|Booktitle=Proceedings of the 29th International Conference on Database Theory
|Publisher=Dagstuhl Publishing
|Editor=Balder ten Cate, Maurice Funk
|Series=LIPIcs
|Volume=365
}}
{{Publikation Details
|Abstract=Static filtering is a data-independent optimisation method for Datalog, which generalises algebraic query rewriting techniques from relational databases. In spite of its early discovery by Kifer and Lozinskii in 1986, the method has been overlooked in recent research and system development, and special cases are being rediscovered independently. We therefore recall the original approach, using updated terminology and more general filter predicates that capture features of modern systems, and we show how to extend its applicability to answer set programming (ASP). The outcome is strictly more general but also more complex than the classical approach: double exponential in general and single exponential even for predicates of bounded arity. As a solution, we propose tractable approximations of the algorithm that can still yield much improved logic programs in typical cases, e.g., it can improve the performance of rule systems over real-world data in the order of magnitude.
|Download=Technical report ICDT.pdf
|Link=https://doi.org/10.4230/LIPIcs.ICDT.2026.5
|DOI Name=10.4230/LIPIcs.ICDT.2026.5
|Projekt=CPEC, CeTI, SECAI, ScaDS.AI
|Forschungsgruppe=Wissensbasierte Systeme
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Datenbanktheorie
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Nichtmonotones Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}

Inproceedings3454

2026-01-13T12:26:09Z

Philipp Hanisch:

{{Publikation Erster Autor
|ErsterAutorVorname=Philipp
|ErsterAutorNachname=Hanisch
|FurtherAuthors=Markus Krötzsch
}}
{{Inproceedings
|Referiert=1
|Title=Rule Rewriting Revisited: A Fresh Look at Static Filtering for Datalog and ASP
|To appear=1
|Year=2026
|Booktitle=Proceedings of the 29th International Conference on Database Theory
|Publisher=Dagstuhl Publishing
}}
{{Publikation Details
|Abstract=Static filtering is a data-independent optimisation method for Datalog, which generalises algebraic query rewriting techniques from relational databases. In spite of its early discovery by Kifer and Lozinskii in 1986, the method has been overlooked in recent research and system development, and special cases are being rediscovered independently. We therefore recall the original approach, using updated terminology and more general filter predicates that capture features of modern systems, and we show how to extend its applicability to answer set programming (ASP). The outcome is strictly more general but also more complex than the classical approach: double exponential in general and single exponential even for predicates of bounded arity. As a solution, we propose tractable approximations of the algorithm that can still yield much improved logic programs in typical cases, e.g., it can improve the performance of rule systems over real-world data in the order of magnitude.
|Download=Technical report ICDT.pdf
|Link=https://doi.org/10.4230/LIPIcs.ICDT.2026.5
|DOI Name=10.4230/LIPIcs.ICDT.2026.5
|Projekt=CPEC, CeTI, SECAI, ScaDS.AI
|Forschungsgruppe=Wissensbasierte Systeme
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Datenbanktheorie
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Nichtmonotones Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}
r Informatik
|Editor=Balder ten Cate, Maurice Funk
|Series=LIPIcs
|Volume=365
}}

Inproceedings3454

2026-01-13T12:24:55Z

Philipp Hanisch:

{{Publikation Erster Autor
|ErsterAutorVorname=Philipp
|ErsterAutorNachname=Hanisch
|FurtherAuthors=Markus Krötzsch
}}
{{Inproceedings
|Referiert=1
|Title=Rule Rewriting Revisited: A Fresh Look at Static Filtering for Datalog and ASP
|To appear=1
|Year=2026
|Booktitle=Proceedings of the 29th International Conference on Database Theory
|Publisher=Schloss Dagstuhl - Leibniz-Zentrum f{\"{u}}r Informatik
|Editor=Balder ten Cate, Maurice Funk
|Series=LIPIcs
|Volume=365
}}
{{Publikation Details
|Abstract=Static filtering is a data-independent optimisation method for Datalog, which generalises algebraic query rewriting techniques from relational databases. In spite of its early discovery by Kifer and Lozinskii in 1986, the method has been overlooked in recent research and system development, and special cases are being rediscovered independently. We therefore recall the original approach, using updated terminology and more general filter predicates that capture features of modern systems, and we show how to extend its applicability to answer set programming (ASP). The outcome is strictly more general but also more complex than the classical approach: double exponential in general and single exponential even for predicates of bounded arity. As a solution, we propose tractable approximations of the algorithm that can still yield much improved logic programs in typical cases, e.g., it can improve the performance of rule systems over real-world data in the order of magnitude.
|Download=Technical report ICDT.pdf
|Link=https://doi.org/10.4230/LIPIcs.ICDT.2026.5
|DOI Name=10.4230/LIPIcs.ICDT.2026.5
|Projekt=CPEC, CeTI, SECAI, ScaDS.AI
|Forschungsgruppe=Wissensbasierte Systeme
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Datenbanktheorie
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Nichtmonotones Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}

Datei:Technical report ICDT.pdf

2026-01-13T12:24:38Z

Philipp Hanisch:

Inproceedings3454

2025-12-09T15:25:58Z

Philipp Hanisch:

Inproceedings3454

2025-12-09T15:17:25Z

Philipp Hanisch:

Inproceedings3454

2025-12-09T15:13:53Z

Philipp Hanisch: Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorVorname=Philipp |ErsterAutorNachname=Hanisch |FurtherAuthors=Markus Krötzsch }} {{Inproceedings |Referiert=1 |Title=Rule Rewriting Revisited: A Fresh Look at Static Filtering for Datalog and ASP |To appear=1 |Year=2025 |Booktitle=29th International Conference on Database Theory }} {{Publikation Details |Forschungsgruppe=Wissensbasierte Systeme }}“

Philipp Hanisch

2025-12-03T10:08:44Z

Philipp Hanisch:

{{Mitarbeiter
|Vorname=Philipp
|Nachname=Hanisch
|Akademischer Titel=Dipl.-Inf.
|Forschungsgruppe=Wissensbasierte Systeme
|Stellung=Wissenschaftlicher Mitarbeiter
|Ehemaliger=0
|Telefon=+49 351 463 43506
|Email=philipp.hanisch1@tu-dresden.de
|Raum=APB 3035
|Bild=Philipp-Hanisch-2025.jpg
|Info=Ich bin wissenschaftlicher Mitarbeiter der Forschungsgruppe [[Wissensbasierte Systeme]] von [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] seit September 2022. Als wissenschaftlicher Koordinator der [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)] koordiniere ich die professionelle und organisatorische Entwicklung von SECAI in enger Zusammenarbeit mit ihrem Board und ihren Partnern.

Vor meiner Zeit als wissenschaftlicher Mitarbeiter habe ich bereits mit der Forschungsgruppe zusammen gearbeitet: sowohl als studentische Hilfskraft als auch im Rahmen meines Studiums, z.B. bei der Anfertigung meiner Diplomarbeit. Nach meinem Abschluss an der TU Dresden 2021 habe ich als Young Graduate Trainee für die European Space Agency gearbeitet, bevor ich nach Dresden zurückgekehrt bin. Meine Forschungsinteressen liegen im Bereich Wissensdarstellung und regelbasiertem Schließen, Answer Set Programming und Künstlicher Intelligenz.
|Info EN=I am a research associate in the research group [[Wissensbasierte Systeme|Knowledge-Based Systems]] of [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] since September 2022. Additionally, as the scientific coordinator of the [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)], I coordinate the professional and organizational development of the School in close coordination with its board and partners.

Before becoming a research associate, I have already worked with the research group as a student assistant and as part of my studies, e.g., writing my diploma thesis. After my graduation at TU Dresden in 2021, I have worked as Young Graduate Trainee for the European Space Agency before returning to Dresden. My research interests are Knowledge Representation and Reasoning, Answer Set Programming, and Artificial Intelligence.
|DBLP=https://dblp.org/pid/325/1514.html
|Publikationen anzeigen=1
|Abschlussarbeiten anzeigen=0
|Projekte anzeigen=0
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}

Datei:Philipp-Hanisch-2025.jpg

2025-12-03T10:08:34Z

Philipp Hanisch:

Philipp Hanisch

2025-12-03T10:07:31Z

Philipp Hanisch:

{{Mitarbeiter
|Vorname=Philipp
|Nachname=Hanisch
|Akademischer Titel=Dipl.-Inf.
|Forschungsgruppe=Wissensbasierte Systeme
|Stellung=Wissenschaftlicher Mitarbeiter
|Ehemaliger=0
|Telefon=+49 351 463 43506
|Email=philipp.hanisch1@tu-dresden.de
|Raum=APB 3035
|Bild=Philipp-Hanisch-2025-10-23.jpg
|Info=Ich bin wissenschaftlicher Mitarbeiter der Forschungsgruppe [[Wissensbasierte Systeme]] von [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] seit September 2022. Als wissenschaftlicher Koordinator der [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)] koordiniere ich die professionelle und organisatorische Entwicklung von SECAI in enger Zusammenarbeit mit ihrem Board und ihren Partnern.

Vor meiner Zeit als wissenschaftlicher Mitarbeiter habe ich bereits mit der Forschungsgruppe zusammen gearbeitet: sowohl als studentische Hilfskraft als auch im Rahmen meines Studiums, z.B. bei der Anfertigung meiner Diplomarbeit. Nach meinem Abschluss an der TU Dresden 2021 habe ich als Young Graduate Trainee für die European Space Agency gearbeitet, bevor ich nach Dresden zurückgekehrt bin. Meine Forschungsinteressen liegen im Bereich Wissensdarstellung und regelbasiertem Schließen, Answer Set Programming und Künstlicher Intelligenz.
|Info EN=I am a research associate in the research group [[Wissensbasierte Systeme|Knowledge-Based Systems]] of [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] since September 2022. Additionally, as the scientific coordinator of the [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)], I coordinate the professional and organizational development of the School in close coordination with its board and partners.

Before becoming a research associate, I have already worked with the research group as a student assistant and as part of my studies, e.g., writing my diploma thesis. After my graduation at TU Dresden in 2021, I have worked as Young Graduate Trainee for the European Space Agency before returning to Dresden. My research interests are Knowledge Representation and Reasoning, Answer Set Programming, and Artificial Intelligence.
|DBLP=https://dblp.org/pid/325/1514.html
|Publikationen anzeigen=1
|Abschlussarbeiten anzeigen=0
|Projekte anzeigen=0
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}

Philipp Hanisch

2025-12-03T10:06:41Z

Philipp Hanisch:

{{Mitarbeiter
|Vorname=Philipp
|Nachname=Hanisch
|Akademischer Titel=Dipl.-Inf.
|Forschungsgruppe=Wissensbasierte Systeme
|Stellung=Wissenschaftlicher Mitarbeiter
|Ehemaliger=0
|Telefon=+49 351 463 43506
|Email=philipp.hanisch1@tu-dresden.de
|Raum=APB 3035
|Bild=Philipp-Hanisch-2025-10-23.jpg Philipp-Hanisch-2025-10-23.jpg
|Info=Ich bin wissenschaftlicher Mitarbeiter der Forschungsgruppe [[Wissensbasierte Systeme]] von [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] seit September 2022. Als wissenschaftlicher Koordinator der [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)] koordiniere ich die professionelle und organisatorische Entwicklung von SECAI in enger Zusammenarbeit mit ihrem Board und ihren Partnern.

Vor meiner Zeit als wissenschaftlicher Mitarbeiter habe ich bereits mit der Forschungsgruppe zusammen gearbeitet: sowohl als studentische Hilfskraft als auch im Rahmen meines Studiums, z.B. bei der Anfertigung meiner Diplomarbeit. Nach meinem Abschluss an der TU Dresden 2021 habe ich als Young Graduate Trainee für die European Space Agency gearbeitet, bevor ich nach Dresden zurückgekehrt bin. Meine Forschungsinteressen liegen im Bereich Wissensdarstellung und regelbasiertem Schließen, Answer Set Programming und Künstlicher Intelligenz.
|Info EN=I am a research associate in the research group [[Wissensbasierte Systeme|Knowledge-Based Systems]] of [[Markus_Krötzsch|Prof. Dr. Markus Krötzsch]] since September 2022. Additionally, as the scientific coordinator of the [https://secai.org/ School of Embedded Composite Artificial Intelligence (SECAI)], I coordinate the professional and organizational development of the School in close coordination with its board and partners.

Before becoming a research associate, I have already worked with the research group as a student assistant and as part of my studies, e.g., writing my diploma thesis. After my graduation at TU Dresden in 2021, I have worked as Young Graduate Trainee for the European Space Agency before returning to Dresden. My research interests are Knowledge Representation and Reasoning, Answer Set Programming, and Artificial Intelligence.
|DBLP=https://dblp.org/pid/325/1514.html
|Publikationen anzeigen=1
|Abschlussarbeiten anzeigen=0
|Projekte anzeigen=0
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Wissensrepräsentation und logisches Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Regelbasiertes Schließen
}}
{{Forschungsgebiet Auswahl
|Forschungsgebiet=Answer Set Programming
}}

Datei:Philipp-Hanisch-2025-10-23.jpg

2025-12-03T10:06:33Z

Philipp Hanisch: Philipp Hanisch lud eine neue Version von Datei:Philipp-Hanisch-2025-10-23.jpg hoch

Recent Topics in Knowledge Graphs (SS2025)

2025-07-30T09:41:39Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation, which
* demonstrate an understanding of the selected paper,
* provide an overview of the selected paper, including, e.g., research question and proposed solution, positioning in the research field, or weak/strong points,
* feature in-depth explanations of (parts of) the paper, and
* demonstrate the students' ability to give an oral presentation and write a report.

Presentations will take place 17th July, 14:50, APB 3027 and must not exceed 15 minutes.
Written reports (about 5 pages) are to be submitted as pdf via philipp.hanisch1@tu-dresden.de by 7th August.

At the beginning of the next semester, there is the opportunity to receive in-person feedback for the presentation and the report. Time slots for feedback are scheduled for 6th October, 2pm to 4pm. Students who would like to receive feedback book a time slot in advance (via email).

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505. (taken)

[9] Ma, Burns, Wang, Li, Du, El Shafey, Wang, Shafran, and Soltau: “Knowledge Graph Reasoning With Self-Supervised Reinforcement Learning.” In IEEE Transactions on Audio, Speech and Language Processing, 2025. https://doi.org/10.1109/TASLPRO.2025.3540648. (taken)

[10] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Discussion of paper [9] + How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
|Download=Academic-skills-writing-presenting.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-07-10T11:16:00Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation, which
* demonstrate an understanding of the selected paper,
* provide an overview of the selected paper, including, e.g., research question and proposed solution, positioning in the research field, or weak/strong points,
* feature in-depth explanations of (parts of) the paper, and
* demonstrate the students' ability to give an oral presentation and write a report.

Presentations will take place 17th July, 14:50, APB 3027 and must not exceed 15 minutes.
Written reports (about 5 pages) are to be submitted as pdf via philipp.hanisch1@tu-dresden.de by 7th August.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505. (taken)

[9] Ma, Burns, Wang, Li, Du, El Shafey, Wang, Shafran, and Soltau: “Knowledge Graph Reasoning With Self-Supervised Reinforcement Learning.” In IEEE Transactions on Audio, Speech and Language Processing, 2025. https://doi.org/10.1109/TASLPRO.2025.3540648. (taken)

[10] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Discussion of paper [9] + How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
|Download=Academic-skills-writing-presenting.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Datei:Academic-skills-writing-presenting.pdf

2025-07-10T11:15:52Z

Philipp Hanisch:

Datei:02-academic-skills-writing-presenting.pdf

2025-07-10T11:14:33Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-07-07T08:08:44Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation, which
* demonstrate an understanding of the selected paper,
* provide an overview of the selected paper, including, e.g., research question and proposed solution, positioning in the research field, or weak/strong points,
* feature in-depth explanations of (parts of) the paper, and
* demonstrate the students' ability to give an oral presentation and write a report.

Presentations will take place 17th July, 14:50, APB 3027 and must not exceed 15 minutes.
Written reports (about 5 pages) are to be submitted as pdf via philipp.hanisch1@tu-dresden.de by 7th August.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505. (taken)

[9] Ma, Burns, Wang, Li, Du, El Shafey, Wang, Shafran, and Soltau: “Knowledge Graph Reasoning With Self-Supervised Reinforcement Learning.” In IEEE Transactions on Audio, Speech and Language Processing, 2025. https://doi.org/10.1109/TASLPRO.2025.3540648. (taken)

[10] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Discussion of paper [9] + How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-06-27T09:45:58Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505. (taken)

[9] Ma, Burns, Wang, Li, Du, El Shafey, Wang, Shafran, and Soltau: “Knowledge Graph Reasoning With Self-Supervised Reinforcement Learning.” In IEEE Transactions on Audio, Speech and Language Processing, 2025. https://doi.org/10.1109/TASLPRO.2025.3540648. (taken)

[10] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Discussion of paper [9] + How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-06-27T09:41:04Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[9]

[10] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Discussion of paper [9] + How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-06-16T11:31:44Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41. (taken)

[8] TBA

[9] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[10] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-06-05T12:56:23Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] TBA

[8] TBA

[9] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[10] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[14] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-06-05T11:13:31Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3. (taken)

[2] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[3] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[4] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770. (taken)

[5] Zhang, Zhou, Yao, Chu, and Han: “AdaProp: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. https://doi.org/10.1145/3580305.3599404. (taken)

[6] Long, Zhuang, Li, Yao, and Wang: “EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.” In Proceedings of the AAAI Conference on Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i12.33338. (taken)

[7] TBA

[8] TBA

[9] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” In Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[10] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[11] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[12] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[13] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[14] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [1]
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [2]
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [3]
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [4]
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=OUTPUT.DD
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [5] and [6]
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper [7] and [8]
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation? How to write a scientific report?
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Seminar presentations
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-05-22T12:28:53Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844. (taken)

[3] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[4] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[5] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1. (taken)

[6] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[7] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[8] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[9] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.

[10] Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.” Proceedings of the AAAI Conference on Artificial Intelligence, 2024: https://doi.org/10.1609/aaai.v38i16.29770.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025-04-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025-04-17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025-04-24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025-05-01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.”
|Room=APB 3027
|Date=2025-05-08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.”
|Room=APB 3027
|Date=2025-05-15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.”
|Room=APB 3027
|Date=2025-05-22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025-05-29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Guan, Liu, et al.: “Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.”
|Room=APB 3027
|Date=2025-06-05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025-06-12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025-06-19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025-06-26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025-07-03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025-07-10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025-07-17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-05-08T07:40:10Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844.

[3] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[4] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[5] Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.

[6] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[7] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[8] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[9] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.”
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Jakubowski and Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.”
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.”
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-24T14:52:56Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844.

[3] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[4] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[5] Jakubowski and Jan Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.

[6] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[7] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[8] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[9] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=Academic-skills-reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.”
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Datei:Academic-skills-reading.pdf

2025-04-24T14:52:45Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-24T14:26:06Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.

[2] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844.

[3] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.

[4] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.

[5] Jakubowski and Jan Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.

[6] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.

[7] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.

[8] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.

[9] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=01-Academic-Skill-Reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.”
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-24T14:25:20Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=[1] Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.
[2] Ernests, Biswas, Bjerva, and Hose: “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics, 2025: https://doi.org/10.1016/j.websem.2024.100844.
[3] Pan, Razniewski, Kalo, Singhania, Chen, Dietze, Jabeen, et al.: “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Transactions on Graph Data and Knowledge (TGDK), 2023. https://doi.org/10.4230/TGDK.1.1.2.
[4] Nguyen, Razniewski, Romero, and Weikum: “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering, 2023. https://doi.org/10.1109/TKDE.2022.3206505.
[5] Jakubowski and Jan Van den Bussche: “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.
[6] Suchanek, Alam, Bonald, Chen, Paris, and Soria: “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In SIGIR Conference on Research and Development in Information Retrieval, 2024. https://doi.org/10.1145/3626772.3657876.
[7] Ortona, Meduri, and Papotti: “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In IEEE International Conference on Data Engineering (ICDE), 2018. https://doi.org/10.1109/ICDE.2018.00108.
[8] Moya Loustaunau and Aidan Hogan: “Predicting SPARQL Query Dynamics.” In Proc. of the 11th Knowledge Capture Conference, 2021. https://doi.org/10.1145/3460210.3493565.
[9] Angles, Aranda, Hogan, Rojas, and Vrgoč: “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=01-Academic-Skill-Reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Lajus, Galárraga, and Suchanek: “Fast and Exact Rule Mining with AMIE 3.”
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-24T11:51:30Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=* Lajus, Jonathan, Luis Galárraga, and Fabian Suchanek. “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, edited by Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, and Michael Cochez, 36–52. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.
* Lavrinovics, Ernests, Russa Biswas, Johannes Bjerva, and Katja Hose. “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics 85 (May 1, 2025): 100844. https://doi.org/10.1016/j.websem.2024.100844.
* Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Application/pdf. Edited by Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal. Transactions on Graph Data and Knowledge (TGDK) 1, no. 1 (2023): 2:1-2:38. https://doi.org/10.4230/TGDK.1.1.2.
* Nguyen, Tuan-Phong, Simon Razniewski, Julien Romero, and Gerhard Weikum. “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering 35, no. 8 (August 2023): 8431–47. https://doi.org/10.1109/TKDE.2022.3206505.
* Jakubowski, Maxime, and Jan Van den Bussche. “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, edited by Sabrina Kirrane, Mantas Šimkus, Ahmet Soylu, and Dumitru Roman, 1–13. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.
* Suchanek, Fabian M., Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, and Jules Soria. “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 131–40. SIGIR ’24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3626772.3657876.
* Ortona, Stefano, Venkata Vamsikrishna Meduri, and Paolo Papotti. “Robust Discovery of Positive and Negative Rules in Knowledge Bases.” In 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1168–79, 2018. https://doi.org/10.1109/ICDE.2018.00108.
* Moya Loustaunau, Alberto, and Aidan Hogan. “Predicting SPARQL Query Dynamics.” In Proceedings of the 11th Knowledge Capture Conference, 161–68. K-CAP ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3460210.3493565.
* Angles, Renzo, Carlos Buil Aranda, Aidan Hogan, Carlos Rojas, and Domagoj Vrgoč. “WDBench: A Wikidata Graph Query Benchmark.” In The Semantic Web – ISWC 2022, edited by Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, and Claudia d’Amato, 714–31. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-19433-7_41.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=01-Academic-Skill-Reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 1
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-24T09:50:47Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=* Lajus, Jonathan, Luis Galárraga, and Fabian Suchanek. “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, edited by Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, and Michael Cochez, 36–52. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.
* Lavrinovics, Ernests, Russa Biswas, Johannes Bjerva, and Katja Hose. “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics 85 (May 1, 2025): 100844. https://doi.org/10.1016/j.websem.2024.100844.
* Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Application/pdf. Edited by Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal. Transactions on Graph Data and Knowledge (TGDK) 1, no. 1 (2023): 2:1-2:38. https://doi.org/10.4230/TGDK.1.1.2.
* Nguyen, Tuan-Phong, Simon Razniewski, Julien Romero, and Gerhard Weikum. “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering 35, no. 8 (August 2023): 8431–47. https://doi.org/10.1109/TKDE.2022.3206505.
* Jakubowski, Maxime, and Jan Van den Bussche. “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, edited by Sabrina Kirrane, Mantas Šimkus, Ahmet Soylu, and Dumitru Roman, 1–13. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.
* Suchanek, Fabian M., Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, and Jules Soria. “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 131–40. SIGIR ’24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3626772.3657876.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
|Download=01-Academic-Skill-Reading.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 1
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Datei:01-Academic-Skill-Reading.pdf

2025-04-24T09:50:19Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-22T09:44:33Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

A list of possible papers is collected in "Literature", and participants are invited to propose further papers.
The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session to be able to take part in the discussion.

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=* Lajus, Jonathan, Luis Galárraga, and Fabian Suchanek. “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, edited by Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, and Michael Cochez, 36–52. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.
* Lavrinovics, Ernests, Russa Biswas, Johannes Bjerva, and Katja Hose. “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics 85 (May 1, 2025): 100844. https://doi.org/10.1016/j.websem.2024.100844.
* Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Application/pdf. Edited by Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal. Transactions on Graph Data and Knowledge (TGDK) 1, no. 1 (2023): 2:1-2:38. https://doi.org/10.4230/TGDK.1.1.2.
* Nguyen, Tuan-Phong, Simon Razniewski, Julien Romero, and Gerhard Weikum. “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering 35, no. 8 (August 2023): 8431–47. https://doi.org/10.1109/TKDE.2022.3206505.
* Jakubowski, Maxime, and Jan Van den Bussche. “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, edited by Sabrina Kirrane, Mantas Šimkus, Ahmet Soylu, and Dumitru Roman, 1–13. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.
* Suchanek, Fabian M., Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, and Jules Soria. “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 131–40. SIGIR ’24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3626772.3657876.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 1
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-22T09:40:35Z

Philipp Hanisch:

{{Vorlesung
|Title=Recent Topics in Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Philipp Hanisch
|Term=SS
|Year=2025
|Module=INF-B510, INF-B-520, INF-AQUA, INF-D-940, CMS-SEM, CMS-LM-ADV, CMS-LM-MOC, CMS-LM-AI, MCL-PS
|SWSLecture=0
|SWSExercise=2
|SWSPractical=0
|Exam type=Hausarbeit, Referat
|Description=== News ==
* The first session (April 10th) is co-located with the [[Projekte_und_Studienarbeiten_Wissensbasierte_Systeme|topic announcements]] of the Knowledge-based System Group. We can use this session to discuss topics, but there will be no proper seminar.
* The second session (April 17th) will not take place due to the Easter break.

== Contents ==
This seminar will be focused on recent topics in the field of Knowledge Graphs.
This seminar will be organised similar to a reading group: each week, we will discuss a paper from the recent research on Knowledge Graphs.
Participants are encouraged to propose papers which they would like to read.
Topics of interest include (but are not limited to)
* Rule-based analysis of Knowledge Graphs
* Constraint languages for Knowledge Graphs
* LLMs in the context of Knowledge Graphs

The paper for a session will be announced at least one week before the session.
Participants are expected to read the paper prior to the session,

The goal of this course is to read, analyse, and understand a given scientific paper and prepare a report as well as a presentation of the topic. Therefore additional skills like basic literature search and the acquisition of knowledge on underlying concepts will be required and trained.

There will be three informative parts:
* How to read a research paper?
* How to write a report?
* How to give an oral presentation?
Depending on the available time, we might combine the last two parts.

== Examination ==
Participants will analyse a selected paper in the field of Knowledge Graphs and present their results in a written report and an oral presentation.

== Schedule and Location ==
Thursday, DS 5 (14:50 - 16:20), APB 3027
Please check "Dates and Materials" for further details.
|Literature=* Lajus, Jonathan, Luis Galárraga, and Fabian Suchanek. “Fast and Exact Rule Mining with AMIE 3.” In The Semantic Web, edited by Andreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, and Michael Cochez, 36–52. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-49461-2_3.
* Lavrinovics, Ernests, Russa Biswas, Johannes Bjerva, and Katja Hose. “Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.” Journal of Web Semantics 85 (May 1, 2025): 100844. https://doi.org/10.1016/j.websem.2024.100844.
* Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” Application/pdf. Edited by Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal. Transactions on Graph Data and Knowledge (TGDK) 1, no. 1 (2023): 2:1-2:38. https://doi.org/10.4230/TGDK.1.1.2.
* Nguyen, Tuan-Phong, Simon Razniewski, Julien Romero, and Gerhard Weikum. “Refined Commonsense Knowledge From Large-Scale Web Contents.” IEEE Transactions on Knowledge and Data Engineering 35, no. 8 (August 2023): 8431–47. https://doi.org/10.1109/TKDE.2022.3206505.
* Jakubowski, Maxime, and Jan Van den Bussche. “What’s in a Neighborhood? Describing Nodes in RDF Graphs Using Shapes.” In Rules and Reasoning, edited by Sabrina Kirrane, Mantas Šimkus, Ahmet Soylu, and Dumitru Roman, 1–13. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72407-7_1.
* Suchanek, Fabian M., Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, and Jules Soria. “YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.” In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 131–40. SIGIR ’24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3626772.3657876.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Topics Announcement
|Room=APB 3027
|Date=2025/04/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Easter
|Room=APB 3027
|Date=2025/04/17
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to read a research paper?
|Room=APB 3027
|Date=2025/04/24
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Public holiday
|Room=APB 3027
|Date=2025/05/01
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 1
|Room=APB 3027
|Date=2025/05/08
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 2
|Room=APB 3027
|Date=2025/05/15
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 3
|Room=APB 3027
|Date=2025/05/22
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Ascension Day
|Room=APB 3027
|Date=2025/05/29
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 4
|Room=APB 3027
|Date=2025/06/05
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Pentecost
|Room=APB 3027
|Date=2025/06/12
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 5
|Room=APB 3027
|Date=2025/06/19
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to write a scientific report?
|Room=APB 3027
|Date=2025/06/26
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 6
|Room=APB 3027
|Date=2025/07/03
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=Reading session: Discussion of paper 7
|Room=APB 3027
|Date=2025/07/10
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Seminar
|Title=How to give a research presentation?
|Room=APB 3027
|Date=2025/07/17
|DS=DS5
}}

Recent Topics in Knowledge Graphs (SS2025)

2025-04-17T12:24:42Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-17T12:22:17Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:31:09Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:28:09Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:27:27Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:26:55Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:25:16Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:07:48Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:03:59Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T09:01:36Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:51:40Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:43:46Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:43:18Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:41:10Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:39:38Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:35:23Z

Philipp Hanisch:

Recent Topics in Knowledge Graphs (SS2025)

2025-04-07T08:32:22Z

Philipp Hanisch: