Inconsistency Measures for Repair Semantics in OBDA

Bruno Yun 1 Srdjan Vesic 2 Madalina Croitoru 1 Pierre Bisquert 3
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
2 CRIL - Centre de Recherche en Informatique de Lens
3 IRIT - Institut de recherche en informatique de Toulouse
Abstract : In this paper, we place ourselves in the Ontology Based Data Access (OBDA) setting and investigate reasoning with inconsistent existential rules knowledge bases. We use the notion of inconsistency measures on sets of facts to rank and filter repairs. We propose a generic framework to answer queries by using the best repairs and study productivity and properties of such a framework.
Keywords : Description Logics Ontologies
Type de document :
Communication dans un congrès
IJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, pp.1977-1983, 2018, 〈http://www.ijcai-18.org〉. 〈10.24963/ijcai.2018/273〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01892704
Contributeur : Bruno Yun <>
Soumis le : mercredi 10 octobre 2018 - 18:21:25
Dernière modification le : mardi 16 octobre 2018 - 11:12:31

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LIRMM | UNIV-ARTOIS | UNIV-TLSE3 | GRAPHIK | SMS | UNIV-TLSE2 | MIPS | INRIA | UNIV-MONTPELLIER

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Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert. Inconsistency Measures for Repair Semantics in OBDA. IJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, pp.1977-1983, 2018, 〈http://www.ijcai-18.org〉. 〈10.24963/ijcai.2018/273〉. 〈lirmm-01892704〉

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