Inconsistency Measures for Repair Semantics in OBDA

Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden
PublisherInternational Joint Conferences on Artificial Intelligence Organization
Pages1977-1983
Number of pages7
DOIs
Publication statusPublished - 2018
EventTwenty-Seventh International Joint Conference on Artificial Intelligence - Stockholm, Sweden
Duration: 13 Jul 201819 Jul 2018

Conference

ConferenceTwenty-Seventh International Joint Conference on Artificial Intelligence
Abbreviated titleIJCAI-18
CountrySweden
CityStockholm
Period13/07/1819/07/18

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  • Cite this

    Yun, B., Vesic, S., Croitoru, M., & Bisquert, P. (2018). Inconsistency Measures for Repair Semantics in OBDA. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden (pp. 1977-1983). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2018/273