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dc.contributor.authorMilne, David N.
dc.contributor.authorMedelyan, Olena
dc.contributor.authorWitten, Ian H.
dc.coverage.spatialConference held at Hong Kongen_NZ
dc.date.accessioned2008-11-16T20:53:59Z
dc.date.available2008-11-16T20:53:59Z
dc.date.issued2006
dc.identifier.citationMilne, D., Medelyan, O. & Witten, I.H. (2006). Mining Domain-Specific Thesauri from Wikipedia: A case study. In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, December 18 - 22, 2006(pp. 442-448). Washington DC: IEEE Computer Society.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1347
dc.description.abstractDomain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show how the classic thesaurus structure of terms and links can be mined automatically from Wikipedia. In a comparison with a professional thesaurus for agriculture we find that Wikipedia contains a substantial proportion of its concepts and semantic relations; furthermore it has impressive coverage of contemporary documents in the domain. Thesauri derived using our techniques capitalize on existing public efforts and tend to reflect contemporary language usage better than their costly, painstakingly-constructed manual counterparts.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE Computer Societyen_US
dc.relation.urihttp://portal.acm.org/citation.cfm?id=1248823.1249168en_US
dc.rightsThis article has been published in the Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, December 18-22, 2006. Copyright © IEEE Computer Society.en_US
dc.sourceWI 2006en_NZ
dc.subjectcomputer scienceen_US
dc.subjectGreenstoneen_US
dc.subjectarchitectureen_US
dc.subjectinternationalizationen_US
dc.subjectMachine learning
dc.titleMining Domain-Specific Thesauri from Wikipedia: A case studyen_US
dc.typeConference Contributionen_US
dc.identifier.doi10.1109/WI.2006.119en_US
dc.relation.isPartOfProc 2006 IEEE/WIC/ACM International Conference on Web Intelligenceen_NZ
pubs.begin-page442en_NZ
pubs.elements-id17281
pubs.end-page448en_NZ
pubs.finish-date2006-12-22en_NZ
pubs.place-of-publicationUSAen_NZ
pubs.start-date2006-12-18en_NZ


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