Descoberta de conhecimento em artigos digitais em ciências biomédicas
DOI:
https://doi.org/10.5433/1981-8920.2016v21n2p170Palavras-chave:
Descoberta de Conhecimento na Literatura, Mineração de Textos, Publicações Estendidas, Publicações Semânticas, Ciências BiomédicasResumo
Introdução: A emergência da Web Semântica vem impactando o ambiente de publicações digitais científicas. O crescimento da literatura biomédica em formato digital suscita a questão de que novas descobertas podem ter origem não só nos laboratórios, mas também nas bases de dados bibliográficas e factuais. O formato textual linear dos artigos científicos, voltado para leitura humana, é inadequado ao tratamento por computadores. Objetivos: Contextualizar o problema de pesquisa de modelos semântico para artigos digitais em ciências biomédicas, identificando áreas correlatas e produzindo uma revisão da literatura. Metodologia: A pesquisa é descritiva e exploratória, centrada no problema da de pesquisa, procurando identificar interfaces entre as áreas revistas; a abordagem é qualitativa, os métodos foram pesquisa bibliográfica e documentaria. Resultados: apresentação do estado da arte e principais questões em cada subárea, mineração de textos biomédicos e publicações estendidas/modelos semânticos de publicações; são áreas complementares mas não integradas. Conclusões: Estamos em transição de um modelo de publicação centrado no artigo textual linear para um modelo em que o artigo digital, em um novo formato, é um dos elos de uma rede de recursos interligados e acessíveis simultaneamente, processáveis por programas, tirando partido das tecnologias da Web Semântica.
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2016-12-20
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Marcondes, C. H., Costa, L. C. da, & Martins, S. de C. (2016). Descoberta de conhecimento em artigos digitais em ciências biomédicas. Informação & Informação, 21(2), 170–216. https://doi.org/10.5433/1981-8920.2016v21n2p170
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