Knowledge-Based Systems
Knowledge-Based Systems
- Contact Markus Krötzsch
- Secretary secretary_wbs@mailbox.tu-dresden.de
The research group Knowledge-Based Systems is concerned with methods for the intelligent management and processing of information in computer systems. This includes research questions from knowledge representation, reasoning and formal logic, but also covers topics related to databases and distributed systems. Important application areas of this research can be found in the fields of semantic technologies, artificial intelligence, and knowledge management.
The research group is affiliated with the Institute for Theoretical Computer Science.
Professors and Research Group Leaders
Management
Scientific Staff
- APB 3035
- +49 351 463 38314
Technical Administrators
- APB 3018
- +49 (0) 351 463-38422
Student Assistants
Former Members
Newest Publications
A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic
In Dana Fisman, Grigore Rosu, eds., Proc. of the 28th Int. Conf. on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022), volume 13243 of LNCS, 480-501, 2022. Springer
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Chasing Streams with Existential Rules
Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, to appear
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Simulating Sets in Answer Set Programming
Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, to appear
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Deciding Hyperproperties Combined with Functional Specifications
Proceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2022), to appear
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Expressivity of Planning with Horn Description Logic Ontologies
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), to appear
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Tuple-Generating Dependencies Capture Complex Values
In Dan Olteanu, Nils Vortmeier, eds., Proceedings of the 25th International Conference on Database Theory (ICDT 2022), volume 220 of LIPIcs, 13:1--13:20, March 2022. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Answering Queries with Negation over Existential Rules
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), to appear
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Reliance-Based Optimization of Existential Rule Reasoning
Diploma Thesis, TU Dresden, December 2021
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Chase-Based Computation of Cores for Existential Rules
Diploma Thesis, TU Dresden, September 2021
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Evaluating the Generality of Disjunctive Model Faithful Acyclicity on OWL ontologies
Project Thesis, TU Dresden, March 2021
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Courses
- Research Seminar Logic and AI (SS 2022)
- Database Theory (SS 2022)
- Models of Concurrent Systems (SS 2022)
- Seminar Rule-Based Paradigms in KR (WS 2021)
- Complexity Theory (WS 2021)
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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
InnoSale
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence
ScaDS.AI
Center for Scalable Data Analytics and Artificial Intelligence
Semantic MediaWiki
Popular open-source software for collaborative data management
VLog
A fast, highly scalable rule engine for existential rules and Datalog.
Wikidata
Wikipedia's free, collaborative knowledge base
Wikidata SPARQL Logs
Access logs from the Wikidata SPARQL Query Service
