Tongyici Cilin-based Mapping Approach for Large-scale Chinese Ontology
Wang Tin · 2014
Ontology mapping is an important way to solve the problem of the ontology heterogeneous.The Chinese knowledge is an important part of the online knowledge base,but there is still lack of relevant system for Chinese large scale ontology mapping.While facing the large-scale ontology mapping task,current Chinese ontology mapping system has low efficiency and its availability is not high.In order to solve the Chinese ontology mapping problem,this paper put forward a kind of Tongyici Cilin-based ontology mapping architecture,firstly presented a data field-based method to compress the Chinese large-scale ontology,secondly purposed a Tongyici Cilin-based algorithm for the Chinese equivalent-class discovery,thirdly implemented a prototype system for Chinese large-scale ontology mapping,finally compared the system with the other typical similarity computing algorithm.The result proves that it has higher overall performance and usability.