关键词: Ontology, 粒子群优化算法, 划分

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