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dc.contributor.authorHogan, Aidan
dc.contributor.authorHarth, Andreas
dc.contributor.authorPolleres, Axel
dc.date.accessioned2018-09-20T16:11:08Z
dc.date.available2018-09-20T16:11:08Z
dc.date.issued2009-01-01
dc.identifier.citationHogan, Aidan; Harth, Andreas; Polleres, Axel (2009). Scalable authoritative owl reasoning for the web. International Journal on Semantic Web and Information Systems 5 (2), 49-90
dc.identifier.issn1552-6283,1552-6291
dc.identifier.urihttp://hdl.handle.net/10379/11951
dc.description.abstractIn this article the authors discuss the challenges of performing reasoning on large scale RDF datasets from the Web. Using ter-Horst's pD* fragment of OWL as a base, the authors compose a rule-based framework for application to web data: they argue their decisions using observations of undesirable examples taken directly from the Web. The authors further temper their OWL fragment through consideration of "authoritative stheirces" which counter-acts an observed behavitheir which we term "ontology hijacking": new ontologies published on the Web re-defining the semantics of existing entities resident in other ontologies. They then present their system for performing rule-based forward-chaining reasoning which they call SAOR: Scalable Authoritative OWL Reasoner. Based upon observed characteristics of web data and reasoning in general, they design their system to scale: the system is based upon a separation of terminological data from assertional data and comprises of a lightweight in-memory index, on-disk sorts and file-scans. The authors evaluate their methods on a dataset in the order of a hundred million statements collected from real-world Web stheirces and present scale-up experiments on a dataset in the order of a billion statements collected from the Web. [Article copies are available for purchase from InfoSci-on-Demand.com]
dc.publisherIGI Global
dc.relation.ispartofInternational Journal on Semantic Web and Information Systems
dc.subjectauthoritative reasoning
dc.subjectdatalog
dc.subjectinference
dc.subjectowl
dc.subjectrdfs
dc.subjectreasoning
dc.subjectrules
dc.subjectscalability
dc.subjectsemantic web
dc.titleScalable authoritative owl reasoning for the web
dc.typeArticle
dc.identifier.doi10.4018/ijswis.2009040103
dc.local.publishedsourcehttp://www.deri.ie/fileadmin/documents/DERI-TR-2009-04-21.pdf
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