A framework for supporting knowledge representation – an ontological based approach
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/7576 |
Resumo: | Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores |
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A framework for supporting knowledge representation – an ontological based approachKnowledge representationSemantic webInformation retrievalOntology engineeringVector-space modelDissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de ComputadoresThe World Wide Web has had a tremendous impact on society and business in just a few years by making information instantly available. During this transition from physical to electronic means for information transport, the content and encoding of information has remained natural language and is only identified by its URL. Today, this is perhaps the most significant obstacle to streamlining business processes via the web. In order that processes may execute without human intervention, knowledge sources, such as documents, must become more machine understandable and must contain other information besides their main contents and URLs. The Semantic Web is a vision of a future web of machine-understandable data. On a machine understandable web, it will be possible for programs to easily determine what knowledge sources are about. This work introduces a conceptual framework and its implementation to support the classification and discovery of knowledge sources, supported by the above vision, where such sources’ information is structured and represented through a mathematical vector that semantically pinpoints the relevance of those knowledge sources within the domain of interest of each user. The presented work also addresses the enrichment of such knowledge representations, using the statistical relevance of keywords based on the classical vector space model concept, and extending it with ontological support, by using concepts and semantic relations, contained in a domain-specific ontology, to enrich knowledge sources’ semantic vectors. Semantic vectors are compared against each other, in order to obtain the similarity between them, and better support end users with knowledge source retrieval capabilities.Faculdade de Ciências e TecnologiaGonçalves, RicardoLima, CelsonRUNFigueiras, Paulo Alves2012-07-24T11:17:54Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/7576enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:39:36Zoai:run.unl.pt:10362/7576Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:17:34.943458Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A framework for supporting knowledge representation – an ontological based approach |
title |
A framework for supporting knowledge representation – an ontological based approach |
spellingShingle |
A framework for supporting knowledge representation – an ontological based approach Figueiras, Paulo Alves Knowledge representation Semantic web Information retrieval Ontology engineering Vector-space model |
title_short |
A framework for supporting knowledge representation – an ontological based approach |
title_full |
A framework for supporting knowledge representation – an ontological based approach |
title_fullStr |
A framework for supporting knowledge representation – an ontological based approach |
title_full_unstemmed |
A framework for supporting knowledge representation – an ontological based approach |
title_sort |
A framework for supporting knowledge representation – an ontological based approach |
author |
Figueiras, Paulo Alves |
author_facet |
Figueiras, Paulo Alves |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gonçalves, Ricardo Lima, Celson RUN |
dc.contributor.author.fl_str_mv |
Figueiras, Paulo Alves |
dc.subject.por.fl_str_mv |
Knowledge representation Semantic web Information retrieval Ontology engineering Vector-space model |
topic |
Knowledge representation Semantic web Information retrieval Ontology engineering Vector-space model |
description |
Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-07-24T11:17:54Z 2012 2012-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/7576 |
url |
http://hdl.handle.net/10362/7576 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Ciências e Tecnologia |
publisher.none.fl_str_mv |
Faculdade de Ciências e Tecnologia |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137823620595712 |