Record link: 
http://hdl.handle.net/20.500.12708/203905
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Title: 
Fuzzy Datalog∃ over Arbitrary t-Norms
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Citation: 
Lanzinger, M., Sferrazza, S., Wałęga, P., & Gottlob, G. (2024). Fuzzy Datalog∃ over Arbitrary t-Norms. In N. Bjørner, M. Heule, & A. Voronkov (Eds.), Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 426–444). https://doi.org/10.29007/cngw
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Publisher DOI: 
10.29007/cngw
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Lanzinger, Matthias 
Sferrazza, Stefano 
Wałęga, Przemysław 
Gottlob, Georg 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning 
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Volume: 
100
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DOI of the book: 
10.29007/9PTS
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Date (published): 
26-May-2024
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Event name: 
25th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR 2024) 
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Event date: 
26-May-2024 - 31-May-2024
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Event place: 
Mauritius
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Number of Pages: 
19
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Peer reviewed: 
Yes
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Keywords: 
Datalog; Fuzzy Logic; Neurosymbolic AI; Logic Programming
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Project title: 
Decompose and Conquer: Fast Query Processing via Decomposition: ICT22-011 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Scalable Reasoning in Knowledge Graphs: VRG18-013 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Knowledge Graph-driven Tour Management for Sustainable Waste Processing: NXT22-018 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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