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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/7576

Título: A framework for supporting knowledge representation – an ontological based approach
Autor: Figueiras, Paulo Alves
Orientador: Gonçalves, Ricardo
Lima, Celson
Palavras-chave: Knowledge representation
Semantic web
Information retrieval
Ontology engineering
Vector-space model
Issue Date: 2012
Editora: Faculdade de Ciências e Tecnologia
Resumo: The 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.
Descrição: Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
URI: http://hdl.handle.net/10362/7576
Appears in Collections:FCT: DEE - Dissertações de Mestrado

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