Research on Ontology Mapping Method based on Global Optimization
Since more and more ontologies with different terms or different taxonomies are being developed and many of them describe similar domain, a key challenge is enabling the interoperability among different ontologies. In this paper, an ontology mapping method is presented based on global similarity optimization. First of all, a mapping model is constructed for the problem of ontology mapping from a global view. Then, a global similarity measure function between two ontologies is defined. Finally, genetic algorithm is employed to evaluate and evolve the global similarity measure function for achieving an optimal mapping. A set of experiments are conducted to evaluate the performance of the method in solving ontology- mapping problem.
ontology mapping genetic algorithm similarity function
Junli Wang Xianhui Liu Yubing Hou
Engineering Research Center of Enterprise Digital Technology, Ministry of Education, Tongji Universi Shanghai Branch, China Information Technology Designing and Consulting Institute Shanghai, China
国际会议
太原
英文
572-575
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）