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dc.contributor.authorPérez Catalán, María
dc.date.accessioned2016-03-14T10:46:03Z
dc.date.available2016-03-14T10:46:03Z
dc.date.issued2014-11-06
dc.identifier.citationPÉREZ CATALÁN, María. Semantic-based approach for the discovery of Life Sciences web resources driven by rich user's requirements. AI Communications, Preprint: 1-2.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/153591
dc.description.abstractIn recent years, the number of resources available on the Web has increased quickly. In Life Sciences, researchers are publishing their research results on the Web as web resources with the aim of collaborating with other researchers. However, the discovery of web resources relevant to a specific requirement is a challenging task. The thesis aims to assist the users in the discovery of the most suitable resources for their specific requirements.ca_CA
dc.format.extent2 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherCopyright ©2015 IOS Pressca_CA
dc.relation.isPartOfAI Communications, Preprint: 1-2ca_CA
dc.rightsCopyright ©2015 IOS Pressca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectWeb resource discoveryca_CA
dc.subjectsemanticsca_CA
dc.subjectinformation retrievalca_CA
dc.subjectknowledge extractionca_CA
dc.titleSemantic-based approach for the discovery of Life Sciences web resources driven by rich user's requirementsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doi10.3233/AIC-140649
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://content.iospress.com/articles/ai-communications/aic649ca_CA
dc.editionVersió pre-printca_CA


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