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Query Failure Explanation in Inconsistent Knowledge Bases Using Argumentation

Abdallah Arioua 1 Nouredine Tamani 2 Madalina Croitoru 2 Patrice Buche 1
1 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We address the problem of explaining Boolean Conjunctive Query (BCQ) failure in the presence of inconsistency within the Ontology-Based Data Access (OBDA) setting, where inconsistency is handled by the intersection of closed repairs semantics (ICR) and the ontology is represented by Datalog+/− rules. Our proposal relies on an interactive and argumentative approach where the processes of explanation takes the form of a dialogue between the User and the Reasoner. We exploit the equivalence between argumentation and ICR-semantics to prove that the Reasoner can always provide an answer for user's questions.
Keywords : Argumentation abstraite Knowldege bases Explanation
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Conference papers
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https://hal-auf.archives-ouvertes.fr/hal-01089146
Contributor : Abdallah Arioua <>
Submitted on : Monday, December 1, 2014 - 11:27:52 AM
Last modification on : Saturday, June 5, 2021 - 11:06:07 AM

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AFRIQ | INRIA | CIRAD | CNRS | INRA | GRAPHIK | AGROPOLIS | LIRMM | MIPS | BA | UNIV-MONTPELLIER | IATE | MONTPELLIER-SUPAGRO | INRAE | INRAEOCCITANIEMONTPELLIER

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Abdallah Arioua, Nouredine Tamani, Madalina Croitoru, Patrice Buche. Query Failure Explanation in Inconsistent Knowledge Bases Using Argumentation. COMMA: Computational Models of Argument, Sep 2014, Scottish Highlands, Pitlochry, United Kingdom. pp.101-108, ⟨10.3233/978-1-61499-436-7-101⟩. ⟨hal-01089146⟩

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