Quelltext der Seite Knowledge Graphs (WS2024)

{{Vorlesung
|Title=Knowledge Graphs
|Research group=Wissensbasierte Systeme
|Lecturers=Markus Krötzsch
|Tutors=Maximilian Marx
|Term=WS
|Year=2024
|Lecture series=Knowledge Graphs
|Matrix=#kg2024:tu-dresden.de
|Module=INF-B-510, INF-B-520, INF-BAS2, INF-BAS6, INF-E-3, INF-PM-ANW, INF-PM-FOR, INF-VERT2, INF-VERT6, MCL-KR, MCL-TCSL, CMS-COR-KM
|SWSLecture=2
|SWSExercise=2
|SWSPractical=0
|Exam type=Klausur, mündliche Prüfung
|Description====News===
* if you want to take the exam, please register with your examination office (presumably done through [https://selma.tu-dresden.de/ Selma])
* the first lecture will take place on '''Tuesday, 2024-10-15, DS5 (14:50–16:20)''' in room [[BAR 0218]]
* the second lecture will take place on '''Tuesday, 2024-10-22, DS5 (14:50–16:20)''' in room [[BAR 0218]]
* the first exercise will take place on '''Tuesday, 2024-10-29 2024, DS5 (14:50–16:20)''' in room [[BAR 0218]]
* please check this page regularly for updates of the schedule
* additional materials (example data, solutions to programming exercises) are available on a [https://github.com/knowsys/Course-Knowledge-Graphs/ GitHub repository]

===Contents===
Knowledge graphs are becoming an important paradigm in industry and research, with applications including prominent examples such as Google's own Knowledge Graph, Wikipedia's knowledge base sister [[Wikidata/en|Wikidata]], and numerous artificial intelligence projects from Alexa to Siri. Meanwhile, companies are exploring the use of their own enterprise knowledge graphs for improving internal knowledge management.

With so many facets, knowledge graphs are a cross-cutting topic in computer science that involves aspects of data management (graph databases, file formats), publication (exchange formats, data integration), knowledge organisation (constraints, ontologies), and advanced analytics (expressive query languages, graph data mining). On each of these levels, there is some interesting theory and some interesting technology to be learned. This course will cover a colourful mix of technologies and methods related to the use of graphs for  data analysis, knowledge representation, and data management.

===Registration===

The course generally does not require a special registration and there is no limit for participants. <!-- However, you need to enroll in the '''[https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/41846439941/CourseNode/1663208808106461009 OPAL course]''' for one of the exercise sessions. --> However, students in programmes that use the Selma system (esp. students in CMS Master) will need to register there to obtain credits. 
Most of the materials will be freely available world-wide. Live sessions (especially tutorials) are restricted to students of TU Dresden.

===Examination Dates and Mode===

The registration and scheduling for exams depend on the module they are for. All students need to contact the [[Wissensbasierte_Systeme/en|KBS secretary]] to arrange time slots for their oral exams, or the secretary of another chair in the case of another main examiner. The preferred dates for oral exams are ''10th February 2025'' and ''14th February 2025''. Although we cannot generally accommodate wishes for specific dates, students with justified time constraints during the examination period can still let us know as early as possible.

To obtain credits in module '''CMS-COR-KM,''' students have to take an exam that only involves this one course. This exam is either written or oral, depending on the number of registered students (as per the study regulations). We can announce the actual mode only at the end of the exam registration period. <!-- Repetition exams in CMS-COR-KM in Summer 2024 will usually happen on '''Tue, 6th August 2024'''. We only expect oral exams, but the final mode can only be announced when registration is complete. -->

Students who are taking Knowledge Graphs as part of any '''other module''' should contact the secretary of the main examiner to find a date. <!-- If the main examiner is Markus Krötzsch, the preferred date will also be '''6th August 2024'''. -->

===Schedule and Location===
All dates are published on this page (see ''Dates & Materials'' above).
* '''Note that the faculty-wide room schedule is still not finalised and might be subject to further changes. Please check this page regularly for updates.'''
* Lectures: Thursdays, DS5 (14:50 to 16:20) in [[GER 0038]]
* Exercises: Tuesdays, DS5 (14:50 to 16:20) in [[BAR 0218]]
* The first exercise sessions will be on '''Tuesday, 2024-10-29'''.
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=1. Introduction and Welcome
|Room=BAR 0218
|Date=2024/10/15
|DS=DS5
|Download=KG2024-Lecture-01-overlay.pdf, KG2024-Lecture-01-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=2. The Resource Description Framework RDF
|Room=BAR 0218
|Date=2024/10/22
|DS=DS5
|Download=KG2024-Lecture-02-overlay.pdf, KG2024-Lecture-02-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=0. Introduction to Python
|Room=BAR 0218
|Date=2024/10/29
|DS=DS5
|Download=Kg2024-exercise-00.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=1. Getting to Know Graphs
|Room=BAR 0218
|Date=2024/11/05
|DS=DS5
|Download=kg2024-exercise-01.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=2. The Resource Description Framework RDF (continued)
|Room=GER 0038
|Date=2024/11/07
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=2. Graphs and RDF
|Room=BAR 0218
|Date=2024/11/12
|DS=DS5
|Download=kg2024-exercise-02.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=3. Modeling in RDF / SPARQL Basics
|Room=GER 0038
|Date=2024/11/14
|DS=DS5
|Download=KG2024-Lecture-03-overlay.pdf, KG2024-Lecture-03-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=4. Wikidata
|Room=BAR 0218
|Date=2024/11/19
|DS=DS5
|Download=KG2024-Lecture-04-overlay.pdf, KG2024-Lecture-04-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=3. SPARQL and Wikidata
|Room=GER 0038
|Date=2024/11/21
|DS=DS5
|Download=kg2024-exercise-03.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=5. Advances Features of SPARQL
|Room=GER 0038
|Date=2024/11/28
|DS=DS5
|Download=KG2024-Lecture-05-overlay.pdf, KG2024-Lecture-05-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=4. More SPARQL and Wikidata
|Room=BAR 0218
|Date=2024/11/26
|DS=DS5
|Download=kg2024-exercise-04.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=6. SPARQL Semantics
|Room=GER 0038
|Date=2024/12/05
|DS=DS5
|Download=KG2024-Lecture-06-overlay.pdf, KG2024-Lecture-06-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=5. Yet More SPARQL and Wikidata
|Room=BAR 0218
|Date=2024/12/03
|DS=DS5
|Download=kg2024-exercise-05.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=7. Complexity of SPARQL
|Room=GER 0038
|Date=2024/12/12
|DS=DS5
|Download=KG2024-Lecture-07-overlay.pdf, KG2024-Lecture-07-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=6. Advanced SPARQL
|Room=BAR 0218
|Date=2024/12/10
|DS=DS5
|Download=kg2024-exercise-06.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=8. Limits of SPARQL / Datalog
|Room=GER 0038
|Date=2024/12/19
|DS=DS5
|Download=KG2024-Lecture-08-overlay.pdf, KG2024-Lecture-08-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=7. More Advanced SPARQL
|Room=BAR 0218
|Date=2024/12/17
|DS=DS5
|Download=kg2024-exercise-07.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=9. Rules for Querying Graphs
|Room=GER 0038
|Date=2025/01/09
|DS=DS5
|Download=KG2024-Lecture-09-overlay.pdf, KG2024-Lecture-09-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=8. Expressivity of SPARQL
|Room=BAR 0218
|Date=2025/01/07
|DS=DS5
|Download=kg2024-exercise-08.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=10. Knowledge Graph Quality
|Room=GER 0038
|Date=2025/01/16
|DS=DS5
|Download=KG2024-Lecture-10-overlay.pdf, KG2024-Lecture-10-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=9. Datalog
|Room=BAR 0218
|Date=2025/01/14
|DS=DS5
|Download=kg2024-exercise-09.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=11. Ontologies in OWL
|Room=GER 0038
|Date=2025/01/23
|DS=DS5
|Download=KG2024-Lecture-11-overlay.pdf, KG2024-Lecture-11-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=10. Datalog in Practice
|Room=BAR 0218
|Date=2025/01/21
|DS=DS5
|Download=kg2024-exercise-10.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=12. Ontologies for Knowledge Graphs
|Room=GER 0038
|Date=2025/01/30
|DS=DS5
|Download=KG2024-Lecture-12-overlay.pdf, KG2024-Lecture-12-print.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=11. Knowledge Graph Quality and Validation
|Room=BAR 0218
|Date=2025/01/28
|DS=DS5
|Download=kg2024-exercise-11.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Vorlesung
|Title=13. Summary, Outlook, Consultation
|Room=GER 0038
|Date=2025/02/06
|DS=DS5
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Übung
|Title=12. Ontologies for Knowledge Graphs
|Room=BAR 0218
|Date=2025/02/04
|DS=DS5
|Download=kg2024-exercise-12.pdf
}}
{{Vorlesung Zeiten
|Lehrveranstaltungstype=Entfällt
|Title=Reformation Day (public holiday)
|Room=GER 0038
|Date=2024/10/31
|DS=DS5
}}