Pay-As-You-Go OWL Query Answering Using a Triple Store

doi:https://doi.org/10.1609/aaai.v28i1.8856

Open AccessArticle10.1609/aaai.v28i1.8856

Pay-As-You-Go OWL Query Answering Using a Triple Store

Yujiao Zhou,Yavor Nenov,Bernardo Cuenca Grau,Ian Horrocks-2014-06-21-Proceedings of the AAAI Conference on Artificial Intelligence

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TL;DRAbstract

We present an enhanced hybrid approach to OWL query answering that combines an RDF triple-store with an OWL reasoner in order to provide scalable pay-as-you-go performance. The enhancements presented here include an extension to deal with arbitrary OWL ontologies, and optimisations that significantly improve scalability. We have implemented these techniques in a prototype system, a preliminary evaluation of which has produced very encouraging results.

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We present an enhanced hybrid approach to OWL query answering that combines an RDF triple-store with an OWL reasoner in order to provide scalable pay-as-you-go performance. The enhancements presented here include an extension to deal with arbitrary OWL ontologies, and optimisations that significantly improve scalability. We have implemented these techniques in a prototype system, a preliminary evaluation of which has produced very encouraging results.

Keywords

Semantic reasonerScalabilityComputer scienceWeb Ontology LanguageRDFSPARQLExtension (predicate logic)Dual (grammatical number)

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