Integrating the IAC Neural Network in Ontology Mapping

摘要：

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.

关键词： ontology mapping interactive activation and competition (IAC) neural network constraint satisfaction problem (CSP) PRIOR+

作者: Ming Mao Yefei Peng Michael Spring

作者单位: SAP Research Palo Alto, CA 94304 USA Yahoo! Sunnyvale, CA 94089 USA University of Pittsburgh Pittsburgh, PA 15260 USA

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）