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Local Semantic Context Analysis for Automatic Ontology Matching
2009
European Society for Fuzzy Logic and Technology
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This paper proposes an algorithm for concept matching, applied in the ontology mapping domain. Basic idea is to seek the effective semantics embedded in the concept name by analyzing the context in which it appears. Through simple interactions with the known lexicon WordNet, the right meaning associated to a concept is unequivocally elicited by exploring their local semantic context, viz. the surrounding concepts. This approach reveals interesting results for the word sense disambiguation, when
dblp:conf/eusflat/FenzaLS09
fatcat:n6gmempbcfbhdo7jfnpxele3ze