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Scalable Authoritative OWL Reasoning on a Billion Triples

ARAN - Access to Research at NUI Galway

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dc.contributor.author Hogan, Aidan en
dc.contributor.author Harth, Andreas en
dc.contributor.author Polleres, Axel en
dc.date.accessioned 2009-12-16T12:22:44Z en
dc.date.available 2009-12-16T12:22:44Z en
dc.date.issued 2008 en
dc.identifier.citation Aidan Hogan, Andreas Harth, Axel Polleres "Scalable Authoritative OWL Reasoning on a Billion Triples", Proceedings of Billion Triple Semantic Web Challenge, in conjunction with 7th International Semantic Web Conference, 2008. en
dc.identifier.uri http://hdl.handle.net/10379/546 en
dc.description.abstract In this paper we present a scalable algorithm for performing a subset of OWL reasoning over web data using a rule-based approach to forward-chaining; in particular, we identify the problem of ontology hijacking: new ontologies published on the Web redefining the semantics of existing concepts resident in other ontologies. Our solution introduces consideration of authoritative sources. We present the results of applying our methods on a re-crawl of the billion triple challenge dataset. en
dc.format application/pdf en
dc.language.iso en en
dc.subject.lcsh Reasoning en
dc.subject.lcsh Computer algorithms en
dc.subject.lcsh Ontology en
dc.subject.lcsh Semantic Web en
dc.title Scalable Authoritative OWL Reasoning on a Billion Triples en
dc.type Workshop paper en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder inContext en
dc.contributor.funder Science Foundation Ireland en

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