Aplicação de Ontologias de Proveniência em Workflows Cientı́ficos: um Mapeamento Sistemático

  • Luiz Gustavo Dias UFF
  • Bruno Lopes UFF
  • Daniel de Oliveira UFF

Resumo


Experimentos cientı́ficos modelados como workflows são executados por complexos mecanismos chamados de Sistemas de Gerência de Workflows (SGWf). Existem diversos SGWfs com seus prós e contras, porém todos compartilham diversas caracterı́sticas como por exemplo, a necessidade de fornecer apoio para os cientis- tas analisarem seus dados. Os dados de proveniência tem um papel importante no fornecimento das informações necessárias em diferentes etapas experimentais. Desta forma, o presente trabalho tem como objetivo mapear e caracterizar abordagens que utilizam uma das quatro ontologias de proveniência selecionadas, analisando fatores como adequabilidade, requisitos de execução e arquitetura. Após o estudo, percebeu- se que as ontologias de proveniência podem ser aplicadas em diferentes etapas do ciclo de vida do workflow cientı́fico, mas principalmente na fase de análise.

Palavras-chave: Ontologias, proveniência, workflows científicos

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Publicado
24/06/2019
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DIAS, Luiz Gustavo; LOPES, Bruno ; DE OLIVEIRA, Daniel . Aplicação de Ontologias de Proveniência em Workflows Cientı́ficos: um Mapeamento Sistemático. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 13. , 2019, Belém. Anais do XIII Brazilian e-Science Workshop. Porto Alegre: Sociedade Brasileira de Computação, june 2019 . p. 41-48.