Dipl.-Inf. Lukas Gerlach

Wissenschaftlicher Mitarbeiter Wissensbasierte Systeme

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Ich bin Lukas und wissenschaftlicher Mitarbeiter / Doktorand in der Forschungsgruppe Wissensbasierte Systeme. Ich forsche hauptsächlich an Existenziellen Regeln, dem Chase Algorithmus und verwandten Themen. In meinem Studium habe ich mich vertiefend mit Datenbanktheorie, Logik und Komplexitätstheorie beschäftigt.

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Lukas Gerlach, David Carral, Markus Hecher
Finite Groundings for ASP with Functions: A Journey through Consistency (Technical Report)
In Kate Larson, eds., Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, 3386-3394, August 2024. International Joint Conferences on Artificial Intelligence Organization
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Alex Ivliev, Lukas Gerlach, Simon Meusel, Jakob Steinberg, Markus Krötzsch
Nemo: A Scalable and Versatile Datalog Engine
In Mario Alviano, Matthias Lanzinger, eds., 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
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Lukas Gerlach, Alex Ivliev, Julián Méndez, Simon Meusel, Raimund Dachselt, Markus Krötzsch
EvonNemo - A Symbiosis of Datalog Tracing and Proof Tree Visualization
The Fifth Workshop on Explainable Logic-Based Knowledge Representation (XLoKR 2024), to appear
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Lukas Gerlach, David Carral, Markus Hecher
Finite Groundings for ASP with Functions: A Journey through Consistency (Extended Abstract)
In Nina Gierasimczuk, Jesse Heyninck, eds., Proceedings of the 22nd International Workshop on Non-Monotonic Reasoning, to appear
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Alex Ivliev, Lukas Gerlach, Simon Meusel, Jakob Steinberg, Markus Krötzsch
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
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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
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
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Stefan Ellmauthaler, Lukas Gerlach
ADF-BDD.DEV: Insights to undecided Statements in Abstract Dialectical Frameworks
In Gianvincenzo Alfano, Stefano Ferilli, eds., Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy, November 9, 2023, volume 3546 of CEUR Workshop Proceedings, December 2023. CEUR-WS.org
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Lukas Gerlach, David Carral
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase (Extended Abstract)
In Oliver Kutz, Carsten Lutz, Ana Ozaki, eds., Proceedings of the 36th International Workshop on Description Logics (DL 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023), volume 3515 of CEUR Workshop Proceedings, October 2023. CEUR-WS.org
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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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