Abstract
This paper describes a partial and dynamic ontology mapping model for agents to achieve an agreement about meaning of concepts used in the content part of messages during a dialog. These agents do not share an ontology. The proposed model prescribes phases to cluster and to select the clusters with background knowledge in an ontology, operations to interpret the content of a message based on syntactic, semantic approaches, and the dialog between agents according to the difficulty in finding similar concepts in both ontologies. A case study is presented.
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Freddo, A.R., Brito, R.C., Gimenez-Lugo, G., Tacla, C.A. (2007). Partial and Dynamic Ontology Mapping Model in Dialogs of Agents. In: Neves, J., Santos, M.F., Machado, J.M. (eds) Progress in Artificial Intelligence. EPIA 2007. Lecture Notes in Computer Science(), vol 4874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77002-2_29
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DOI: https://doi.org/10.1007/978-3-540-77002-2_29
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