Research on method of multi-ontology mapping based on concept classification
Chunling Hu · Jisuanji yingyong yanjiu · 2011
To improve the efficiency of ontology mapping with large scale multi-ontology,this paper proposed a method of multi-ontology mapping based on concept classification(MMBCC).It transformed the problem of large scale ontology participation into concept classification problems.Granular computing and semantic similarity computation based on WordNet were property of the classification trees,realized the process of concept classification by quick sort algorithm.Experiments show that the proposed method guarantees the accuracy while reducing the mapping number of comparisons of concept,reducing the complexity,and the method is feasible.