Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (9): 118-122.

• Computer Science & Technology • Previous Articles    

Ontology Partition Method Based on Improved Particle Swarm Optimization Algorithm

Xie Qiang  Zhang Lei  Zhou Liang   

  1. College of Information Science and Tech. , Nanjing Univ. of Aeronautics and Astronautics , Nanjing 210016 , Jiangsu , China
  • Received:2006-09-11 Online:2007-09-25 Published:2007-09-25
  • Contact: 谢强(1972-)，男，博士，讲师，主要从事知识工程、信息系统及信息安全方面的研究. E-mail:nuaacai@126. com
  • About author:谢强(1972-)，男，博士，讲师，主要从事知识工程、信息系统及信息安全方面的研究.
  • Supported by:

    国防基础预研项目( S0500AOOl)

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Abstract:

In order to overcome the difficulty in the use of huge Ontology , a method of automatic Ontology partition is proposed based on the improved particle swarm optimization algorithm. In this method , the probability of the concept to fall into a certain sub-Ontology is taken as the particle speed according to the Ontology partition request , and the digital string of the number of the sub-Ontology is taken as the particle. Mterwards , the fitness degree function of the particle swarm optimization algorithm is designed , and the concrete steps of the Ontology partition are presented. According to the correlation contrast experiment , it is finally found that the proposed partition method is of better division effect than tlre other methods.

Key words: Ontology, particle swarm optimization algorithm, partition