Publication | Open Access
Pay-As-You-Go OWL Query Answering Using a Triple Store
29
Citations
20
References
2014
Year
EngineeringSemantic TechnologySemantic Web DataSemantic WebSemanticsInformation RetrievalData ScienceGraph Query LanguageManagementData IntegrationOwl QueryArbitrary Owl OntologiesData ManagementComputer ScienceInformation ManagementTriple StoreSemantic ReasonerQuery OptimizationRdf Triple-storeOntology LanguageSemantic Interoperability
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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