Journal of Systems Engineering and Electronics ›› 2007, Vol. 18 ›› Issue (3): 641-645.

• SOFTWARE ALGORITHM AND SIMULATION • Previous Articles     Next Articles

Design of ontology mapping framework and improvement of similarity computation

Zheng Liping1, Li Guangyao1, Liang Yongquan2 & Sha Jing2   

  1. 1. Coll. of Electron and Information Engineering, Tongji Univ., Shanghai 201804, P. R. China;
    2. Coll. of Information Science and Engineering, Shandong Univ. of Science and Technology, Qingdao 266510, P. R. China
  • Online:2007-09-24 Published:2010-01-03

Abstract:

Ontology heterogeneity is the primary obstacle for interoperation of ontologies. Ontology mapping is the best way to solve this problem. The key of ontology mapping is the similarity computation. At present, the method of similarity computation is imperfect. And the computation quantity is high. To solve these problems, an ontology-mapping framework with a kind of hybrid architecture is put forward, with an improvement in the method of similarity computation. Different areas have different local ontologies. Two ontologies are taken as examples, to explain the specific mapping framework and improved method of similarity computation. These two ontologies are about classes and teachers in a university. The experimental results show that using this framework and improved method can increase the accuracy of computation to a certain extent. Otherwise, the quantity of computation can be decreased.