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dc.contributor.authorHogan, Aidanen
dc.contributor.authorHarth, Andreasen
dc.contributor.authorPolleres, Axelen
dc.date.accessioned2009-12-16T12:22:44Zen
dc.date.available2009-12-16T12:22:44Zen
dc.date.issued2008en
dc.identifier.citationAidan 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.urihttp://hdl.handle.net/10379/546en
dc.description.abstractIn 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.formatapplication/pdfen
dc.language.isoenen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subject.lcshReasoningen
dc.subject.lcshComputer algorithmsen
dc.subject.lcshOntologyen
dc.subject.lcshSemantic Weben
dc.titleScalable Authoritative OWL Reasoning on a Billion Triplesen
dc.typeWorkshop paperen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderinContexten
dc.contributor.funderScience Foundation Irelanden
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland