Interoperability for Bayesian agents in the semantic web

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. It was developed using OWL, which is a W3C recommendation for ontology language. 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. The utilization of the architecture is exemplified through a case study developed in the context of a multiagent educational portal (PortEdu). The case study demonstrates the interoperability resulted from the architecture integration with Bayesian agents hosted in PortEdu.