Markus Krötzsch

From International Center for Computational Logic

Prof. Dr. Markus Krötzsch

ProfessorTechnische Universität DresdenInternational Center for Computational Logic Knowledge-Based Systems

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

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Camille Bourgaux, David Carral, Markus Krötzsch, Sebastian Rudolph, Michaël Thomazo
Capturing Homomorphism-Closed Decidable Queries with Existential Rules
Proc. 18th International Conference on Principles of Knowledge Representation and Reasoning (KR'21), to appear
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David Carral, Markus Krötzsch
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
In Christian Bessiere, eds., Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, 1777-1783, 2020. ijcai.org
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David Carral, Irina Dragoste, Markus Krötzsch
Reasoner = Logical Calculus + Rule Engine
KI, 2020
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David Carral, Markus Krötzsch, Jacopo Urbani
Practical Uses of Existential Rules in Knowledge Representation
Tutorial at the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020)
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David Carral, Markus Krötzsch, Jacopo Urbani
Practical Uses of Existential Rules in Knowledge Representation
Tutorial at the 24th European Conference on Artificial Intelligence (ECAI 2020)
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Markus Krötzsch
Computing Cores for Existential Rules with the Standard Chase and ASP
In Diego Calvanese, Esra Erdem, Michael Thielscher, eds., Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 603-613, 2020. IJCAI
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David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), August 2019. International Joint Conferences on Artificial Intelligence
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David Carral, Irina Dragoste, Larry González, Ceriel Jacobs, Markus Krötzsch, Jacopo Urbani
VLog: A Rule Engine for Knowledge Graphs
In Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel F. Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon, eds., Proceedings of the 18th International Semantic Web Conference (ISWC'19) Part II, volume 11779 of LNCS, October 2019. Springer
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Ana Ozaki, Markus Krötzsch, Sebastian Rudolph
Temporally Attributed Description Logics
In Carsten Lutz, Uli Sattler, Cesare Tinelli, Anni-Yasmin Turhan, Frank Wolter, eds., Description Logic, Theory Combination, and All That - Essays Dedicated to Franz Baader on the Occasion of His 60th Birthday, volume 11560 of LNCS, 441-474. Springer, 2019
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Markus Krötzsch, Daria Stepanova
Explainable Artificial Intelligence. Proceedings of the 15th Reasoning Web Summer School
Volume 11810 of LNCS, 2019. Springer
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cfaed
CENTER FOR ADVANCING ELECTRONICS DRESDEN

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CPEC
Center for Perspicuous Computing

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DIAMOND
Data Integration and Access by Merging Ontologies and Databases

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ScaDS.AI
Center for Scalable Data Analytics and Artificial Intelligence

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Semantic MediaWiki
Popular open-source software for collaborative data management

VLog
A fast, highly scalable rule engine for existential rules and Datalog.

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Wikidata
Wikipedia's free, collaborative knowledge base

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Wikidata SPARQL Logs
Access logs from the Wikidata SPARQL Query Service