Thomas Lukasiewicz
Thomas Lukasiewicz
Professor of Computer Science, University of Oxford
Email verificata su cs.ox.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
Combining answer set programming with description logics for the semantic web
T Eiter, G Ianni, T Lukasiewicz, R Schindlauer, H Tompits
Artificial Intelligence 172 (12/13), 1495-1539, 2008
7292008
Combining answer set programming with description logics for the semantic web
T Eiter, T Lukasiewicz, R Schindlauer, H Tompits
Principles of Knowledge Representation and Reasoning: Proceedings of the …, 2004
729*2004
A general datalog-based framework for tractable query answering over ontologies
A Calì, G Gottlob, T Lukasiewicz
Web Semantics: Science, Services and Agents on the World Wide Web 14, 57-83, 2012
6002012
Managing uncertainty and vagueness in description logics for the Semantic Web
T Lukasiewicz, U Straccia
Journal of Web Semantics 6 (4), 291-308, 2008
5872008
Expressive probabilistic description logics
T Lukasiewicz
Artificial Intelligence 172 (6/7), 852-883, 2008
2962008
P-SHOQ(D): A probabilistic extension of SHOQ(D) for probabilistic ontologies in the Semantic Web
R Giugno, T Lukasiewicz
Proceedings of the 8th European Conference on Logics in Artificial …, 2002
2422002
Datalog+/-: A family of logical knowledge representation and query languages for new applications
A Calı, G Gottlob, T Lukasiewicz, B Marnette, A Pieris
Proceedings of the 25th Symposium on Logic in Computer Science (LICS 2010 …, 2010
1642010
e-snli: Natural language inference with natural language explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
arXiv preprint arXiv:1812.01193, 2018
1522018
Datalog±: A unified approach to ontologies and integrity constraints
A Calì, G Gottlob, T Lukasiewicz
Proceedings of the 12th International Conference on Database Theory (ICDT …, 2009
1512009
Probabilistic logic programming
T Lukasiewicz
Proceedings of the 13th European Conference on Artificial Intelligence, 388-392, 1998
1431998
Probabilistic deduction with conditional constraints over basic events
T Lukasiewicz
Journal of Artificial Intelligence Research (JAIR) 10, 199-241, 1999
1271999
Probabilistic default reasoning with conditional constraints
T Lukasiewicz
Annals of Mathematics and Artificial Intelligence 34 (1-3), 35-88, 2002
1262002
Probabilistic logic programming with conditional constraints
T Lukasiewicz
ACM Transactions on Computational Logic (TOCL) 2 (3), 289-339, 2001
1222001
Well-founded semantics for description logic programs in the Semantic Web
T Eiter, T Lukasiewicz, R Schindlauer, H Tompits
Proceedings of the 3rd International Workshop on Rules and Rule Markup …, 2004
1052004
Complexity results for structure-based causality
T Eiter, T Lukasiewicz
Artificial Intelligence 142 (1), 53-89, 2002
992002
Complexity results for structure-based causality
T Eiter, T Lukasiewicz
Proceedings of the 17th International Joint Conference on Artificial …, 2001
992001
Combining probabilistic logic programming with the power of maximum entropy
G Kern-Isberner, T Lukasiewicz
Artificial Intelligence 157 (1/2), 139-202, 2004
942004
Well-founded semantics for description logic programs in the Semantic Web
T Eiter, G Ianni, T Lukasiewicz, R Schindlauer
ACM Transactions on Computational Logic (TOCL) 12 (2), 11, 2011
902011
Tractable reasoning with Bayesian description logics
C d’Amato, N Fanizzi, T Lukasiewicz
Proceedings of the 2nd International Conference on Scalable Uncertainty …, 2008
872008
Weak nonmonotonic probabilistic logics
T Lukasiewicz
Artificial Intelligence 168 (1/2), 119-161, 2005
822005
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Articoli 1–20