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Interoperability for Bayesian Agents in the Semantic Web

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Programming Multi-Agent Systems (ProMAS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4908))

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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. 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.

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Mehdi Dastani Amal El Fallah Seghrouchni Alessandro Ricci Michael Winikoff

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© 2008 Springer-Verlag Berlin Heidelberg

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Santos, E.R., Fagundes, M.S., Vicari, R.M. (2008). Interoperability for Bayesian Agents in the Semantic Web. In: Dastani, M., El Fallah Seghrouchni, A., Ricci, A., Winikoff, M. (eds) Programming Multi-Agent Systems. ProMAS 2007. Lecture Notes in Computer Science(), vol 4908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79043-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-79043-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79042-6

  • Online ISBN: 978-3-540-79043-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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