An Ontology-Based Approach to Interoperability for Bayesian Agents Elder Rizzon Santos Instituto de Informática - Universidade Federal do Rio Grande do Sul (UFRGS)
Po. B 15.064 - 91.501-970 - Porto Alegre - RS - Brazil., Phone/Fax: +55 51 33166161 Moser Silva Fagundes Instituto de Informática - Universidade Federal do Rio Grande do Sul (UFRGS)
Po. B 15.064 - 91.501-970 - Porto Alegre - RS - Brazil., Phone/Fax: +55 51 33166161 Rosa Maria Vicari Instituto de Informática - Universidade Federal do Rio Grande do Sul (UFRGS)
Po. B 15.064 - 91.501-970 - Porto Alegre - RS - Brazil., Phone/Fax: +55 51 33166161 ABSTRACT

This paper presents an ontology-based approach to promote the interoperability among agents that represent their knowledge through Bayesian networks. This research relies on semantic web foundations to achieve knowledge interoperability in the context of multiagent systems. Our first step was the specification of an ontology that formalizes the structures of the Bayesian network representation. Once handled the issue of the knowledge representation, we specify how a Bayesian agent operates such representation. Thus, we define a model of internal architecture to support Bayesian agents in the knowledge sharing and maintenance tasks.

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