title: SASAgent: an agent based architecture for search, retrieval and composition of scientific models.
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.
authors: Master Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil.
authors: Luiz
authors: L
authors: Felipe Mendes
authors: Laryssa
authors: L
authors: Silva
authors: Ely
authors: E
authors: Matos
authors: Regina
authors: R
authors: Braga
authors: Fernanda
authors: F
authors: Campos