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2008
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Integrating the IAC neural network in ontology mapping

15 years 10 months ago
Integrating the IAC neural network in ontology mapping
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. Categories and Subject Descriptors D.2.12 [Software Engineering]: Interoperability ? Data mapping; I.2.6 [Artificial Intelligence]: Learning ? Connectionism and neural nets. General Terms Algorithms, Design, Experimentation. Keywords ontology mapping, interactive activation and competition (IAC) neural network, constraint satisfaction problem (CSP), PRIOR+
Ming Mao, Yefei Peng, Michael Spring
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Ming Mao, Yefei Peng, Michael Spring
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