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Synonymous non-taxonomic relations extraction

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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.authorBasir N.en_US
dc.contributor.authorMamat A.en_US
dc.date.accessioned2024-05-29T01:57:56Z
dc.date.available2024-05-29T01:57:56Z
dc.date.issued2015
dc.description.abstractConstruction of ontology is a difficult task, expensive and time-consuming. Concept, taxonomy and nontaxonomic relations, are the three important components in the development of ontology. These three components are used to represent the whole domain texts. Currently, most of studies focused on extracting the concept, the taxonomic relationships and the non-taxonomic relationships within the scope of single sentence. In order to enrich the domain ontology, we introduced a method to extract the non-taxonomic relations by using the similarities of relations that exist in more than one sentence. The most appropriate predicate are used as a reference to relate between concepts that occur not only in the same sentence, but also in different sentences. Here, the proposed method was tested using a collection of domain texts that described electronic voting machine and are evaluated based on the standard information retrieval performance metrics, i.e. precision and recall. � 2006-2015 Asian Research Publishing Network (ARPN).
dc.description.natureFinalen_US
dc.identifier.epage406
dc.identifier.issn18196608
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84923052482
dc.identifier.spage402
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84923052482&partnerID=40&md5=ece10857585f3c82d27e6d600b19b73a
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9965
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_US
dc.publisherAsian Research Publishing Networken_US
dc.relation.ispartofARPN Journal of Engineering and Applied Sciences
dc.sourceScopus
dc.subjectNon-taxonomicen_US
dc.subjectOntologyen_US
dc.subjectPredicateen_US
dc.subjectSemanticen_US
dc.subjectTaxonomicen_US
dc.titleSynonymous non-taxonomic relations extraction
dc.typeArticleen_US
dspace.entity.typePublication

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