Explanations for ontology-mediated query answering in description logics

Conference item

Ontology-mediated query answering is a paradigm that seeks to exploit the semantic knowledge expressed in terms of ontologies to improve query answers over incomplete data sources. In this paper, we focus on description logic ontologies, and study the problem of explaining why an ontology-mediated query is entailed from a given data source. Specifically, we view explanations as minimal sets of assertions from an ABox, which satisfy the ontologymediated query. Based on such explanations, we study a variety of problems taken from the recent literature on explanations (studied for existential rules), such as recognizing all minimal explanations. Our results establish tight connections between intractable explanation problems and variants of propositional satisfiability problems. We provide insights on the inherent computational difficulty of deriving explanations for ontology-mediated queries.

Authors: Ceylan, II; Lukasiewicz, T; Malizia, E; Vaicenavičius, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IOS Press
• Journal: Frontiers in Artificial Intelligence and Applications
• Volume: 325
• Issue: 2020
• Pages: 672-679
• Series: Frontiers in Artificial Intelligence and Applications
• Publication date: 2020-09-09
• Acceptance date: 2020-01-14
• Event title: 24th European Conference on Artificial Intelligence‚ ECAI 2020‚ Santiago de Compostela‚ Spain‚ June 8–12‚ 2020
• DOI: 10.3233/FAIA200153
• EISSN: 1879-8314
• ISSN: 0922-6389
• Language: English
• Keywords: FFR