Ming Mao
ABSTRACT
Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. This paper proposes a neural network based approach to search for a global optimal solution that best satisfies ontology constraints. Experiments on OAEI benchmark tests show it dramatically improves the performance of preliminary mapping results.
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Digital Library
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Index Terms
Integrating the IAC neural network in ontology mapping
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