Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/8745
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dc.contributor.advisorMagalhães, João-
dc.contributor.authorMartins, Flávio Nuno Fernandes-
dc.date.accessioned2013-02-08T11:00:09Z-
dc.date.available2013-02-08T11:00:09Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10362/8745-
dc.descriptionDissertação para obtenção do Grau de Mestre em Engenharia Informáticapor
dc.description.abstractThe volume of digital information is increasingly larger and even though organiza-tions are making more of this information available, without the proper tools users have great difficulties in retrieving documents about subjects of interest. Good infor-mation retrieval mechanisms are crucial for answering user information needs. Nowadays, search engines are unavoidable - they are an essential feature in docu-ment management systems. However, achieving good relevancy is a difficult problem particularly when dealing with specific technical domains where vocabulary mismatch problems can be prejudicial. Numerous research works found that exploiting the lexi-cal or semantic relations of terms in a collection attenuates this problem. In this dissertation, we aim to improve search results and user experience by inves-tigating the use of potentially connected Web vocabularies in information retrieval en-gines. In the context of open Web-based SKOS vocabularies we propose a query expan-sion framework implemented in a widely used IR system (Lucene/Solr), and evaluated using standard IR evaluation datasets. The components described in this thesis were applied in the development of a new search system that was integrated with a rapid applications development tool in the context of an internship at Quidgest S.A.por
dc.description.sponsorshipFundação para a Ciência e Tecnologia - ImTV research project, in the context of the UTAustin-Portugal collaboration (UTA-Est/MAI/0010/2009); QSearch project (FCT/Quidgest)por
dc.language.isoengpor
dc.publisherFaculdade de Ciências e Tecnologiapor
dc.rightsopenAccesspor
dc.titleImproving search engines with open Web-based SKOS vocabulariespor
dc.typemasterThesispor
Aparece nas colecções:FCT: DI - Dissertações de Mestrado

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