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SASAgent: an agent based architecture for search, retrieval and composition of scientific models
Luiz Felipe Mendes1, Laryssa Silva, Ely Matos
1Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil.
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.
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