Rule identification using ontology while acquiring rules from Web pages

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dc.contributor.authorPark, Sko
dc.contributor.authorLee, Jae Kyuko
dc.date.accessioned2008-04-30T08:37:00Z-
dc.date.available2008-04-30T08:37:00Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2007-07-
dc.identifier.citationINTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.65, no.7, pp.659 - 673-
dc.identifier.issn1071-5819-
dc.identifier.urihttp://hdl.handle.net/10203/4299-
dc.description.abstractAs research on the Semantic Web actively progresses, a more intelligent Web environment is expected in various domains including rule-based systems and intelligent agents. However, rule acquisition is still a bottleneck in the utilization of rule-based systems. To extract rules from Web pages, the framework of eXtensible Rule Markup Language (XRML) has been developed. XRML allows the identification of rules from Web pages and generates rules automatically. However, the knowledge engineer's burden is still high because rule identification requires considerable manual work. In order to reduce the knowledge engineer's burden, we proposed an ontology-based methodology of enhanced rule identification. First, we have designed an ontology OntoRule for automated rule identification. Also, we proposed a procedure of rule identification using OntoRule. Lastly, we showed the performance of our approach with an experiment. (c) 2007 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherACADEMIC PRESS LTD ELSEVIER SCIENCE LTD-
dc.subjectSEMANTIC WEB-
dc.subjectKNOWLEDGE ACQUISITION-
dc.subjectEXTRACTION-
dc.subjectTEXT-
dc.subjectDOCUMENTS-
dc.subjectLANGUAGE-
dc.titleRule identification using ontology while acquiring rules from Web pages-
dc.typeArticle-
dc.identifier.wosid000247427700008-
dc.identifier.scopusid2-s2.0-34249323408-
dc.type.rimsART-
dc.citation.volume65-
dc.citation.issue7-
dc.citation.beginningpage659-
dc.citation.endingpage673-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES-
dc.identifier.doi10.1016/j.ijhcs.2007.02.004-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorLee, Jae Kyu-
dc.contributor.nonIdAuthorPark, S-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorrule identification-
dc.subject.keywordAuthorrule acquisition-
dc.subject.keywordAuthorontology-
dc.subject.keywordAuthorknowledge acquisition-
dc.subject.keywordAuthorontology engineering-
dc.subject.keywordAuthorXRML-
dc.subject.keywordAuthorRuleML-
dc.subject.keywordAuthorXML-
dc.subject.keywordPlusSEMANTIC WEB-
dc.subject.keywordPlusKNOWLEDGE ACQUISITION-
dc.subject.keywordPlusEXTRACTION-
dc.subject.keywordPlusTEXT-
dc.subject.keywordPlusDOCUMENTS-
dc.subject.keywordPlusLANGUAGE-
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