Extending Acyclicity Notions for Existential Rules

Jean-François Baget 1 Fabien Garreau 1 Marie-Laure Mugnier 1 Swan Rocher 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Existential rules have been proposed for representing ontological knowledge, specifically in the context of Ontology-Based Query Answering. Entailment with existential rules is undecidable. We focus in this paper on conditions that ensure the termination of a breadth-first forward chaining algorithm known as the chase. First, we propose a new tool that allows to extend existing acyclicity conditions ensuring chase termination, while keeping good complexity properties. Second, we consider the extension to existential rules with nonmonotonic negation under stable model semantics and further extend acyclicity results obtained in the positive case.
Keywords : Acyclicity Existential Rules
Type de document :
Communication dans un congrès
Torsten Schaub, Gerhard Friedrich and Barry O'Sullivan. ECAI: European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic. IOS Press, 21st European Conference on Artificial Intelligence, 263, pp.39-44, 2014, ECAI 2014 - 21st European Conference on Artificial Intelligence. 〈10.3233/978-1-61499-419-0-39〉
Liste complète des métadonnées
https://hal-auf.archives-ouvertes.fr/hal-01092757
Contributeur : Jean-François Baget <>
Soumis le : mardi 9 décembre 2014 - 13:58:42
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

Identifiants

Collections

AFRIQ | INRIA | GRAPHIK | LIRMM | MIPS | UNIV-MONTPELLIER

Citation

Jean-François Baget, Fabien Garreau, Marie-Laure Mugnier, Swan Rocher. Extending Acyclicity Notions for Existential Rules. Torsten Schaub, Gerhard Friedrich and Barry O'Sullivan. ECAI: European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic. IOS Press, 21st European Conference on Artificial Intelligence, 263, pp.39-44, 2014, ECAI 2014 - 21st European Conference on Artificial Intelligence. 〈10.3233/978-1-61499-419-0-39〉. 〈hal-01092757〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

390

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD