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Measuring the understanding between two agents through concept similarity
- Source :
-
Expert Systems with Applications . May2006, Vol. 30 Issue 4, p577-591. 15p. - Publication Year :
- 2006
-
Abstract
- Abstract: Two agents previously unknown to each other cannot communicate by exchanging concepts (nodes of their own ontology): they need to use a common communication language. If they do not use a standard protocol, most likely they use a natural language. The ambiguities of it, and the different concepts the agents possess, give rise to imperfect understanding among them: How closely concepts in ontology OA map 1 [1] OA and OB are the ontologies of agents A (the talker or sender) and B (the listener), in the rest of the paper. to which of OB? Can we measure these mismatches? Given a concept from ontology OA, a method is provided to find the most similar concept in OB, and to measure the similarity between both concepts. The paper also gives an algorithm to gauge du(A, B), the degree of understanding that agent A has about the ontology of B. The procedures use word comparison, since no agent (except the Very Wise Creature, VWC) can measure du directly. Examples are given. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 30
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 19842297
- Full Text :
- https://doi.org/10.1016/j.eswa.2005.07.003