Abstract
A concise manner to send information from agent A to B is to use phrases constructed with the concepts of A: to use the concepts as the atomic tokens to be transmitted. Unfortunately, tokens from A are not understood by (they do not map into) the ontology of B, since in general each ontology has its own address space. Instead, A and B need to use a common communication language, such as English: the transmission tokens are English words.
An algorithm is presented that finds the concept CB in OB (the ontology of B) most closely resembling a given concept CA. That is, given a concept from ontology OA, a method is provided to find the most similar concept in OB, as well as the similarity sim between both concepts. Examples are given.
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Guzman-Arenas, A., Olivares-Ceja, J.M. (2004). Finding the Most Similar Concepts in Two Different Ontologies. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_14
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DOI: https://doi.org/10.1007/978-3-540-24694-7_14
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