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Enriching non-taxonomic relations extracted from domain texts

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dc.Conferencecode86465
dc.Conferencedate28 June 2011 through 29 June 2011
dc.ConferencelocationPutrajaya
dc.Conferencename2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
dc.citedby4
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Putra Malaysia (UPM)
dc.contributor.authorNabila N.F.en_US
dc.contributor.authorMamat A.en_US
dc.contributor.authorAzmi-Murad M.A.en_US
dc.contributor.authorMustapha N.en_US
dc.date.accessioned2024-05-28T08:43:13Z
dc.date.available2024-05-28T08:43:13Z
dc.date.issued2011
dc.description.abstractExtracting non-taxonomic relations is one of the important tasks in the construction of ontology from the text. Most of current methods on identification and extraction of non-taxonomic relations is based on predicate representing relationships between two concepts, namely the relation between subject and object that occurs in a sentence. However, the number of relations that has been identified does not properly represent the domain as the methods only identify a portion of the total relations from domain texts. In this paper, we present a method that increases the number of relations extracted and thus properly represent the domain. In this method, all potential relations are first generated and then less significant ones, based on their frequency, are removed. The method has been tested on a collection of texts that described electronic voting machine and the result is encouraging. � 2011 IEEE.
dc.description.natureFinalen_US
dc.description.sponsorshipUniversiti Kebangsaan Malaysia (UKM)
dc.description.sponsorshipUniv. Kebangsaan Malaysia (UKM), Fak. Teknol. Sains Maklumat
dc.description.sponsorshipUniv. Kebangsaan Malaysia (UKM), Knowl. Technol. Res. Group
dc.identifier.ArtNo5995772
dc.identifier.doi10.1109/STAIR.2011.5995772
dc.identifier.epage105
dc.identifier.isbn9781610000000
dc.identifier.scopus2-s2.0-80052579633
dc.identifier.spage99
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80052579633&doi=10.1109%2fSTAIR.2011.5995772&partnerID=40&md5=52f8516337d5737715fd19ccd09565e1
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9343
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartof2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
dc.sourceScopus
dc.subjectNon-taxonomic relationen_US
dc.subjectRelation Extractionen_US
dc.subjectRelation Identificationen_US
dc.subjectElectronic voting machinesen_US
dc.subjectNon-taxonomic relationen_US
dc.subjectRelation extractionen_US
dc.subjectRelation Identificationen_US
dc.subjectOntologyen_US
dc.subjectSemantic Weben_US
dc.subjectSemanticsen_US
dc.subjectStairsen_US
dc.subjectVoting machinesen_US
dc.subjectInformation retrievalen_US
dc.titleEnriching non-taxonomic relations extracted from domain texts
dc.typeConference Paperen_US
dspace.entity.typePublication

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