KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Towards an understanding of model executability
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
A Probabilistic Extension to Ontology Language OWL
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Social Agents to Improve Collaboration on an Educational Portal
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Formal analysis of a probabilistic knowledge communication framework
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Semantic web technologies applied to interoperability on an educational portal
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A multi-agent intelligent environment for medical knowledge
Artificial Intelligence in Medicine
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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.