Record link: 
http://hdl.handle.net/20.500.12708/203905
-
Title: 
Fuzzy Datalog∃ over Arbitrary t-Norms
en
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
-
Publisher DOI: 
10.29007/cngw
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Lanzinger, Matthias 
Sferrazza, Stefano 
Wałęga, Przemysław 
Gottlob, Georg 
-
Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
-
Published in: 
Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning 
-
Volume: 
100
-
DOI of the book: 
10.29007/9PTS
-
Date (published): 
26-May-2024
-
Event name: 
25th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR 2024) 
en
Event date: 
26-May-2024 - 31-May-2024
-
Event place: 
Mauritius
-
Number of Pages: 
19
-
Peer reviewed: 
Yes
-
Keywords: 
Datalog; Fuzzy Logic; Neurosymbolic AI; Logic Programming
en
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) 
-
Research Areas: 
Logic and Computation: 100%
-
Science Branch: 
1020 - Informatik: 100%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

135
checked on Nov 4, 2024

Google ScholarTM

Check