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dc.coverage.spatialOXFORD
dc.creatorL'HUILLIER-CHAPARRO, GASTON ANDRES
dc.creatorVELASQUEZ-SILVA, JUAN DOMINGO
dc.creatorDUJOVNE, LUIS E.
dc.date.accessioned2017-04-27T18:49:47Z
dc.date.available2017-04-27T18:49:47Z
dc.date.issued2011
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/10533/196937
dc.description.abstractWeb mining has been traditionally used in different application domains in order to enhance the content that Web users are accessing. Likewise, Website administrators are interested in finding new approaches to improve their Website content according to their users' preferences. Furthermore, the Semantic Web has been considered as an alternative to represent Web content in a way which can be used by intelligent techniques to provide the organization, meaning, and definition of Web content. In this work, we define the Website Key Object Extraction problem, whose solution is based on a Semantic Web mining approach to extract from a given Website core ontology, new relations between objects according to their Web user interests. This methodology was applied to a real Website, whose results showed that the automatic extraction of Key Objects is highly competitive against traditional surveys applied to Web users. (C) 2011 Elsevier Ltd. All rights reserved.
dc.language.isoENG
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relation.urihttps://doi.org/10.1016/j.engappai.2011.02.001
dc.titleExtracting significant website key objects: a semantic web mining approach
dc.typeArticulo
dc.bibliographicCitation.stpage1532
dc.bibliographicCitation.endpage1541
dc.identifier.folioD08I1015
dc.country.isoGBR
dc.description.citasisi10
dc.description.conicytprogramFONDEF
dc.description.emailjvelasqu@dii.uchile.cl; dujovne@dcc.uchile.cl; glhuilli@dii.uchile.cl
dc.description.investmentarticleFONDEF [DO8I-1015]; Millennium Institute on Complex Engineering Systems (ICM) [P-05-004-F]; CONICYT [FBO16]
dc.identifier.isiWOS:000296545900019
dc.relation.projectidinfo:eu-repo/grantAgreement/Fondef/D08I1015
dc.relation.setinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.title.journalENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
dc.title.journalabbreviationEng. Appl. Artif. Intell.
dc.type.driverinfo:eu-repo/semantics/article
dc.description.shortconicytprogramFONDEF
dc.identifier.eissn0
dc.description.agradThis work was supported partially by the FONDEF project DO8I-1015 and the Millennium Institute on Complex Engineering Systems (ICM: P-05-004-F, CONICYT: FBO16). Authors would like to thank anonymous reviewers for their interesting and useful comments on the preliminary version of this article.
dc.type.openaireinfo:eu-repo/semantics/publishedVersion


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