Aquisição de conhecimento especializado para construção de ontologias: um estudo no domínio das ciências da vida

• Ano de defesa: 2012
• Autor(a) principal: Katia Cardoso Coelho
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Aquisição de conhecimento; Terminologia biomédica; Conhecimento especializado; Construção de ontologias; Expertise; Biomedicina Terminologia; Ciência da informação; Ontologias (Recuperação da informação)
• Link de acesso: http://hdl.handle.net/1843/ECID-8XLQS4

Geting expert knowledge of a given domain of knowledge is a challenge for many scientific fields. In areas related to life sciences, terminology is broad and complex subject to different interpretations of specialized terms. This kind of problem, among others related, has been approached for years by Information Science. Whether for modeling systems, construction of thesauri, ontology development, or even for knowledge management, this activity requires planning, organization and use ofappropriate methods and techniques. The overall objective of this study is to seek alternatives to minimize the distance between what the expert has to offer and what is actually recorded as what he knows. To this end, we propose a methodology for knowledge elicitation, to obtain specialized knowledge associated myelopathy HTLV I. We sought to further raise the main difficulties involved in acquiring knowledge, in order to seek improvements in this activity. For the present work, we proceeded toreview the literature, spanning the different scientific fields that address the issue, placing it in the Information Science and Biomedicine. Was sought by contributions from the areas studied, as well as the techniques used for establishing the methodology. The empiric universe of data corresponds to the participation of researchers from the Research Group on HTLV - GIPH, as well as its scientific production. A clear contribution of the research methodology is described in the script, which made itpossible to raise the main terms of domain ontology candidates.