JOURNAL ARTICLE

Rewritability in Monadic Disjunctive Datalog, MMSNP, and Expressive Description Logics (Invited Talk)

Cristina FeierAntti KuusistoCarsten Lutz

Year: 2017 Journal:   Leibniz-Zentrum für Informatik (Schloss Dagstuhl)   Publisher: Schloss Dagstuhl – Leibniz Center for Informatics

Abstract

We study rewritability of monadic disjunctive Datalog programs, (the complements of) MMSNP sentences, and ontology-mediated queries (OMQs) based on expressive description logics of the ALC family and on conjunctive queries. We show that rewritability into FO and into monadic Datalog (MDLog) are decidable, and that rewritability into Datalog is decidable when the original query satisfies a certain condition related to equality. We establish 2NExpTime-completeness for all studied problems except rewritability into MDLog for which there remains a gap between 2NExpTime and 3ExpTime. We also analyze the shape of rewritings, which in the MMSNP case correspond to obstructions, and give a new construction of canonical Datalog programs that is more elementary than existing ones and also applies to non-Boolean queries.

Keywords:
Datalog Decidability Conjunctive query Computer science Description logic Ontology Programming language Theoretical computer science Discrete mathematics Mathematics Database Epistemology

Metrics

8
Cited By
1.83
FWCI (Field Weighted Citation Impact)
0
Refs
0.87
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Logic, programming, and type systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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