Lukas Gerlach

From International Center for Computational Logic

Dipl.-Inf. Lukas Gerlach

Research AssociateTechnische Universität DresdenInternational Center for Computational Logic Knowledge-Based Systems

Hi!

I'm Lukas and I'm a Research Associate / PhD student in the Knowledge-Based Systems group. I mainly research existential rules, the chase algorithm and related topics. During my studies, I specialized in database theory, logics and complexity theory.

Newest Publications

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Lukas Gerlach, David Carral
Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination (Technical Report)
In Pierre Marquis,Tran Cao Son,Gabriele Kern-Isberner, eds., Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), volume 20 of Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning, 301–310, September 2023. International Joint Conferences on Artificial Intelligence Organization
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Stefan Ellmauthaler, Lukas Gerlach
ADF-BDD.DEV: Debug Abstract Dialectical Frameworks with Binary Decision Diagrams
The Fourth Workshop on Explainable Logic-Based Knowledge Representation (XLoKR 2023), September 2023
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Lukas Gerlach, David Carral
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase (Extended Technical Report)
In Brian Williams, Yiling Chen, Jennifer Neville, eds., Proceedings of the 37th AAAI Conference on Artificial Intelligence, volume 37 of Proceedings of the AAAI Conference on Artificial Intelligence, 6372-6379, June 2023. AAAI Press
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Alex Ivliev, Stefan Ellmauthaler, Lukas Gerlach, Maximilian Marx, Matthias Meißner, Simon Meusel, Markus Krötzsch
Nemo: First Glimpse of a New Rule Engine
Proceedings 39th International Conference on Logic Programming: ICLP 2023 Technical Communications, EPTCS, to appear
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Lukas Gerlach
Chase-Based Computation of Cores for Existential Rules
Diploma Thesis, TU Dresden, September 2021
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CPEC
Center for Perspicuous Computing

Nemo
A fast, scalable, and reliable rule engine

Adf-bdd
Abstract Dialectical Frameworks solved with Binary Decision Diagrams