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dc.contributor.authorSegev, Aviv
dc.contributor.authorKantola, Jussi
dc.date.accessioned2011-02-18T03:29:11Z
dc.date.accessioned2020-05-18T03:10:47Z-
dc.date.available2011-02-18T03:29:11Z
dc.date.available2020-05-18T03:10:47Z-
dc.date.issued2011-02-18T03:29:11Z
dc.date.submitted2010-12-18
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/30020-
dc.description.abstractKnowledge extraction for patent requests depends on analyzing current state of the art in multiple languages. Currently the process is usually limited to the languages the patent seeker knows. The paper describes a model for representing the patent request by a set of concepts related to existing multilingual knowledge ontology. The search for patent information is based on Fuzzy Logic decision support, allowing a multilingual search. The model was analyzed in assisting the decision process in the Korean Patent Office based on patents in the Korean, English, and Chinese languages.
dc.description.sponsorshipNational Cheng Kung University,Tainan
dc.format.extent6p.
dc.relation.ispartofseries2010 ICS會議
dc.subjectMultilingual Knowledge
dc.subjectDecision Support
dc.subjectPatent
dc.subjectFuzzy Logic
dc.subjectOntology
dc.subject.otherArtificial Intelligence, Knowledge Discovery, and Fuzzy Systems
dc.titleMultilinugal Patent Knowledge Analysis
分類:2010年 ICS 國際計算機會議(如需查看全文,請連結至IEEE Xplore網站)

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