Abstract

Ontology-mediated query answering is an extensively studied paradigm, which aims at improving query answers with the use of a logical theory. As a form of logical entailment, ontology-mediated query answering is fully interpretable, which makes it possible to derive explanations for query answers. Surprisingly, however, explaining answers for ontology-mediated queries has received little attention for ontology languages based on existential rules. In this paper, we close this gap, and study the problem of explaining query answers in terms of minimal subsets of database facts. We provide a thorough complexity analysis for several decision problems associated with minimal explanations under existential rules.

Keywords:
Computer science Ontology Logical consequence Existentialism Query language Information retrieval Conjunctive query Query expansion Artificial intelligence Epistemology Relational database

Metrics

17
Cited By
2.15
FWCI (Field Weighted Citation Impact)
39
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications

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