SASAgent: An agent based architecture for search, retrieval and composition of scientific models

  • Authors:

  • Luiz Felipe Mendes;Laryssa Silva;Ely Matos;Regina Braga;Fernanda Campos

  • Affiliations:

  • Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil;Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil;Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil;Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil and Software Quality Research Group, Federal University of Juiz de Fora , Juiz de F ...;Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil and Software Quality Research Group, Federal University of Juiz de Fora , Juiz de F ...

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2011

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Abstract

Scientific computing is a multidisciplinary field that goes beyond the use of computer as machine where researchers write simple texts, presentations or store analysis and results of their experiments. Because of the huge hardware/software resources invested in experiments and simulations, this new approach to scientific computing currently adopted by research groups is well represented by e-Science. This work aims to propose a new architecture based on intelligent agents to search, recover and compose simulation models, generated in the context of research projects related to biological domain. The SASAgent architecture is described as a multi-tier, comprising three main modules, where CelO ontology satisfies requirements put by e-science projects mainly represented by the semantic knowledge base. Preliminary results suggest that the proposed architecture is promising to achieve requirements found in e-Science projects, considering mainly the biological domain.