Markus Krötzsch
Prof. Dr. Markus Krötzsch
Professor Knowledge-Based Systems
- markus.kroetzsch@tu-dresden.de
- Secretary: secretary_wbs@mailbox.tu-dresden.de
- Chat (Matrix ): @kroetzsc:tu-dresden.de
- +49 351 463 38486
- +49 351 463 37959
- APB 3033
I am professor for Knowledge-Based Systems at the Institute for Theoretical Computer Science of the Faculty of Computer Science at TU Dresden. The professorship is also part of TUD's Center for Advancing Electronics. My scientific interests are, broadly speaking, in the area of intelligent knowledge management systems. I have made contributions to lightweight and rule-based ontology languages, query answering, reasoning complexity, and content management and integration platforms for the Web of Data. This has led to many publications, but also to introductory texts (including two textbooks) and other teaching materials. I also co-edited the W3C Web Ontology Language standard OWL 2.
My most important applied work at the moment is Wikidata. Other projects I have contributed to include the semantic content management system Semantic MediaWiki and the highly efficient ELK ontology reasoner. Behind each of these projects are a number of truly outstanding people with whom I have had (and still have) the pleasure to work.
Newest Publications
EvonNemo - A Symbiosis of Datalog Tracing and Proof Tree Visualization
The Fifth Workshop on Explainable Logic-Based Knowledge Representation (XLoKR 2024), to appear
Details Download
Nemo: Your Friendly and Versatile Rule Reasoning Toolkit
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning, to appear. IJCAI Organization
Details Download
Nemo: A Scalable and Versatile Datalog Engine
Proceedings of the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024), CEUR Workshop Proceedings, to appear. CEUR-WS.org
Details Download
Chase Termination Beyond Polynomial Time
Proc. ACM Manag. Data, 2(2):93, May 2024
Details Download
Towards Mass Spectrum Analysis with ASP
In Carmine Dodaro, Gopal Gupta, Maria Vanina Martinez, eds., Logic Programming and Nonmonotonic Reasoning, volume 15245 of Lecture Notes in Computer Science, to appear. Springer
Details Download
Nemo: First Glimpse of a New Rule Engine
In Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo, Francesca Toni, eds., Proceedings 39th International Conference on Logic Programming (ICLP 2023), volume 385 of EPTCS, 333--335, September 2023
Details Download
Efficient Dependency Analysis for Existential Rules
In Benny Kimelfeld, Maria Vanina Martinez, Renzo Angles, eds., Proceedings of the 15th Alberto Meldenzon International Workshop on Foundations of Data Management (AMW'23). Santiago, Chile, volume 3409 of CEUR Workshop Proceedings, 2023. CEUR-WS.org
Details Download
Wikidata: The Making Of
In Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo,Carlos Castillo, Geert-Jan Houben, eds., Companion Proceedings of the ACM Web Conference 2023 (WWW'23), 615--624, 2023. ACM
Details Download
NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces
In Francesca Toni, eds., Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), volume 220146 of FAIA, 116-127, September 2022. IOS Press
Details Download
An Existential Rule Framework for Computing Why-Provenance On-Demand for Datalog
In Guido Governatori, Anni-Yasmin Turhan, eds., Proceddings of the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), volume 13752 of LNCS, 146--163, 2022. Springer
Details Download
- Area Editor der Zeitschrift Transactions on Graph Data and Knowledge (TGDK)
- Member of the Program Committee Board of the International Joint Conference on Artificial Intelligence, IJCAI (2022-2024)
- Member of the Faculty Council Computer Science, TU Dresden (2022-2024)
- Director of the School of Embedded Composite AI (SECAI)
- Coordinator Track "Logical Modeling" in the MSc program Computational Modeling and Simulation
- Study program coordinator Computational Logic
- President of the Open Semantic Data Association (OSDA)
- Member of Examination Board Bachelor Computer Science
Courses
- Complexity Theory (WS 2024)
- Theoretische Informatik und Logik (SS 2024)
- Knowledge Graphs (WS 2023)
- Complexity Theory (WS 2023)
- Formale Systeme (WS 2023)
show further courses
Student projects
Completed Theses
- Reliance-Based Optimization of Existential Rule Reasoning
- by Alex Ivliev (9 Dezember 2021)
- Supervisor: Markus Krötzsch
- Chase-Based Computation of Cores for Existential Rules
- by Lukas Gerlach (29 August 2021)
- Supervisor: Markus Krötzsch
- Evaluating the Generality of Disjunctive Model Faithful Acyclicity on OWL ontologies
- by Lukas Gerlach (31 März 2021)
- Supervisor: Markus Krötzsch, David Carral
- Don’t Repeat Yourself: Termination of the Skolem Chase on Disjunctive Existential Rules
- by Lukas Gerlach (30 September 2020)
- Supervisor: Markus Krötzsch, David Carral
- Software Implementation for Taxonomy Browsing and Ontology Evaluation for the case of Wikidata
- by Serghei Stratan (7 März 2016)
- Supervisor: Markus Krötzsch
- Visualization of spacio-temporal data from Wikidata
- by Georg Wild (4 September 2014)
- Supervisor: Markus Krötzsch
cfaed
CENTER FOR ADVANCING ELECTRONICS DRESDEN
CPEC
Center for Perspicuous Computing
CeTI
Centre for Tactile Internet with Human-in-the-Loop
InnoSale
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence
KIMEDS
AI Assisted Certification of Medical Software
Nemo
A fast, scalable, and reliable rule engine
SECAI
School of Embedded Composite Artificial Intelligence
ScaDS.AI
Center for Scalable Data Analytics and Artificial Intelligence
Semantic MediaWiki
Popular open-source software for collaborative data management
Wikidata
Wikipedia's free, collaborative knowledge base
Wikidata SPARQL Logs
Access logs from the Wikidata SPARQL Query Service