Explanations for inconsistency-tolerant query answering under existential rules

Conference item

Querying inconsistent knowledge bases is a problem that has attracted a great deal of interest over the last decades. While several semantics of query answering have been proposed, and their complexity is rather well-understood, little attention has been paid to the problem of explaining query answers. Explainability has recently become a prominent problem in different areas of AI. In particular, explaining query answers allows users to understand not only what is entailed by an inconsistent knowledge base, but also why. In this paper, we address the problem of explaining query answers for existential rules under three popular inconsistency-tolerant semantics, namely, the ABox repair, the intersection of repairs, and the intersection of closed repairs semantics. We provide a thorough complexity analysis for a wide range of existential rule languages and for different complexity measures.

Authors: Lukasiewicz, T; Malizia, E; Molinaro, C

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Association for the Advancement of Artificial Intelligence
• Journal: 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
• Volume: 34
• Issue: 3
• Pages: 2909-2916
• Publication date: 2020-06-15
• Acceptance date: 2019-11-11
• Event title: 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
• Event location: New York, New York, USA
• Event website: https://aaai.org/Conferences/AAAI-20/
• Event start date: 2020-02-07
• Event end date: 2020-02-12
• DOI: 10.1609/aaai.v34i03.5682
• EISSN: 2374-3468
• ISSN: 2159-5399
• ISBN: 9781577358091
• Language: English
• Keywords: FFR