Abstract

Ontology-mediated query answering is an extensively studied paradigm, where the conceptual knowledge provided by an ontology is leveraged towards more enhanced querying of data sources. A major advantage of ontological reasoning is its interpretability, which allows one to derive explanations for query answers. Indeed, explanations have a long history in knowledge representation, and have also been investigated for ontology languages based on description logics and existential rules. Existing works on existential rules, however, merely focus on understanding why a query is entailed, i.e., explaining positive query answers. In this paper, we continue this line of research and address another important problem, namely, explaining why a query is not entailed under existential rules, i.e., explaining negative query answers. We consider various problems related to explaining non-entailments from the abduction literature, and also introduce new problems. For all considered problems, we give a detailed complexity analysis for a wide range of existential rule languages and complexity measures.

Keywords:
Existentialism Computer science Ontology Interpretability Query language Conjunctive query Focus (optics) Query expansion Information retrieval Artificial intelligence Epistemology Relational database

Metrics

20
Cited By
2.50
FWCI (Field Weighted Citation Impact)
44
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
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing

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