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Lukas Gerlach
Lukas Gerlach
Research Associate / PhD Student, TU Dresden
tu-dresden.de의 이메일 확인됨 - 홈페이지
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Nemo: First glimpse of a new rule engine
A Ivliev, S Ellmauthaler, L Gerlach, M Marx, M Meißner, S Meusel, ...
Proc. 39th Int. Conf. on Logic Programming, ICLP, 2023
132023
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase
L Gerlach, D Carral
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6372-6379, 2023
32023
Nemo: Your friendly and versatile rule reasoning toolkit
A Ivliev, L Gerlach, S Meusel, J Steinberg, M Krötzsch
Proceedings of the 21st International Conference on Principles of Knowledge …, 2024
22024
Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination
L Gerlach, D Carral
Proceedings of the International Conference on Principles of Knowledge …, 2023
12023
Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination (Technical Report)
L Gerlach, D Carral
12023
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase (Extended Technical Report)
L Gerlach, D Carral
12023
Finite Groundings for ASP with Functions: A Journey through Consistency
L Gerlach, D Carral, M Hecher
arXiv preprint arXiv:2405.15794, 2024
2024
Nemo: A Scalable and Versatile Datalog Engine
A Ivliev, L Gerlach, S Meusel, J Steinberg, M Krötzsch
2024
Chase-Based Computation of Cores for Existential Rules
L Gerlach
Knowledge-Based Systems, 2021
2021
EvonNemo-A Symbiosis of Datalog Tracing and Proof Tree Visualization
L Gerlach, A Ivliev
ADF-BDD. DEV: Debug Abstract Dialectical Frameworks with Binary Decision Diagrams
S Ellmauthaler, L Gerlach
Evaluating the Generality of Disjunctive Model Faithful Acyclicity on OWL ontologies
L Gerlach
Don’t Repeat Yourself: Termination of the Skolem Chase on Disjunctive Existential Rules
L Gerlach
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