Skip to Main content Skip to Navigation
Conference papers

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-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
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 : Ontologies Description Logics
Document type :
Conference papers
Complete list of metadata

Cited literature [2 references]  Display  Hide  Download
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01892704
Contributor : Bruno Yun <>
Submitted on : Wednesday, October 10, 2018 - 6:21:25 PM
Last modification on : Tuesday, July 6, 2021 - 4:12:10 PM

File

Vignette du document
paper.pdf
Files produced by the author(s)

Identifiers

Collections

LIRMM | CNRS | UNIV-ARTOIS | GRAPHIK | SMS | UNIV-TLSE2 | MIPS | INRIA | UNIV-MONTPELLIER | UNIV-TLSE3 | UT1-CAPITOLE | IRIT | IRIT-ADRIA | IRIT-IA

Citation

Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert. Inconsistency Measures for Repair Semantics in OBDA. 27th International Joint Conference on Artificial Intelligence (IJCAI-ECAI), Jul 2018, Stockholm, Sweden. pp.1977-1983, ⟨10.24963/ijcai.2018/273⟩. ⟨lirmm-01892704⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

521

Files downloads

1100