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dc.contributor.advisorVagan Terziyan
dc.contributor.advisorKhriyenko Oleksiy
dc.contributor.authorAman, Edris
dc.date.accessioned2016-12-12T18:53:56Z
dc.date.available2016-12-12T18:53:56Z
dc.date.issued2016
dc.identifier.otheroai:jykdok.linneanet.fi:1644417
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/52274
dc.description.abstractNowadays Semantic Web is widely adopted standard of knowledge representation. Hence, knowledge engineers are applying sophisticated methods to capture, discover and represent knowledge in Semantic Web form. Studies show that, to represent knowledge in Semantic Web standard, data mining techniques such as Decision Trees, Association Rules, etc., play an important role. These techniques are implemented in publicly available Data Mining tools. These tools represent knowledge discovered in human readable format and some tools use Predictive Model Markup language (PMML). PMML is an XML based model for data mining model representation that fails to address the representation of the semantics of the discovered knowledge. Hence, this thesis tries to research and give solutions to translate PMML to Semantic Web Rule Language (SWRL) format using Semantic Web technologies and data mining to cover the semantic gap in PMML.en
dc.format.extent1 verkkoaineisto (65 sivua)
dc.language.isoeng
dc.rightsJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.subject.otherDecision Tree
dc.subject.otherOntology
dc.subject.otherSematic web
dc.subject.otherSWRL
dc.subject.otherPMML
dc.subject.otherRule-based knowledge
dc.titleBridging data mining and semantic web
dc.identifier.urnURN:NBN:fi:jyu-201612125050
dc.type.ontasotPro gradufi
dc.type.ontasotMaster's thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.date.updated2016-12-12T18:53:57Z
dc.rights.accesslevelopenAccessfi
dc.contributor.oppiainekoodi602
dc.subject.ysoontologia
dc.subject.ysosemanttinen web


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