Integrating the IAC neural network in ontology mapping
Ming Mao, Yefei Peng, Michael B. Spring · 2008
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.