Prof. Sebastian Rudolph

Professor Computational Logic

sebastian.rudolph@tu-dresden.de
+49 351 463 38516
+49 351 463 32827
APB 2035

Since April 2013 I am full professor for Computational Logic at the Institute for Artificial Intelligence at the Faculty of Computer Science at the Technische Universität Dresden. My research interests comprise Artificial Intelligence, in particular Knowledge Representation and Reasoning using diverse formalisms (such as Description Logics, Existential Rules and Formal Concept Analysis) and their applications in diverse areas, for instance Semantic Technologies. I deal with problems ranging from theoretical foundations (e.g., decidability and complexity of reasoning tasks) to practical deployment (ontology modeling, interactive knowledge acquisition). In 2017, I received an ERC Consolidator Grant for investigating general principles of decidability in logic-based knowledge representation.

Before returning to Dresden, I spend the years 2006 to 2013 as a postdoctoral researcher, project leader and later Privatdozent (similar to associate professor) in Rudi Studer's Knowledge Management group at the Institute AIFB of the Karlsruhe Institute of Technology, where I obtained my habilitation in 2011. Before I had completed my PhD in Algebra and my studies for highschool teaching in mathematics, physics and computer science at the TU Dresden.

Newest Publications

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Sarah Alice Gaggl, Sebastian Rudolph, Hannes Strass
On the Decomposition of ADFs and the Complexity of Naive-based Semantics
Journal of Artificial Intelligence Research, 70:1-64, January 2021
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Xiaoyu Yin, Dagmar Gromann, Sebastian Rudolph
Neural Machine Translating from Natural Language to SPARQL
Future Generation Computer Systems, 117:510-519, 2021
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Manuel Bodirsky, Simon Knäuer, Sebastian Rudolph
Datalog-Expressibility for Monadic and Guarded Second-Order Logic
Technical Report, arXiv.org, volume 2010.05677, October 2020
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Franz Baader, Bartosz Bednarczyk, Sebastian Rudolph
Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints
Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), June 2020
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Aparna Saisree Thuluva, Darko Anicic, Sebastian Rudolph, Malintha Adikari
Semantic Node-RED for rapid development of interoperable industrial IoT applications
Semantic Web, 11(6):949-975, October 2020
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Norbert Manthey, Rafael Peñaloza Nyssen, Sebastian Rudolph
SATPin: Axiom Pinpointing for Lightweight Description Logics through Incremental SAT
Künstliche Intelligenz, 34(3):389-394, 2020
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Mei Yang, Sarah Alice Gaggl, Sebastian Rudolph
Neva – Extension Visualization for Argumentation Frameworks
Proceedings of the 8th International Conference on Computational Models of Argument (COMMA 2020), volume 326 of Frontiers in Artificial Intelligence and Applications, 477-478, September 2020
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Fariz Darari, Werner Nutt, Simon Razniewski, Sebastian Rudolph
Completeness and soundness guarantees for conjunctive SPARQL queries over RDF data sources with completeness statements
Semantic Web, 11(3):441-482, 2020
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Bartosz Bednarczyk, Sebastian Rudolph
Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct Counting
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), August 2019. International Joint Conferences on Artificial Intelligence
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Bartosz Bednarczyk, Sebastian Rudolph
Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct Counting
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32nd International Workshop on Description Logics, volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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