• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (11): 175-179.

• 论文 • Previous Articles     Next Articles

An Approach of Information Semantic Clustering Based on Semantic Similarity

XIONG Fang1,HUANG Hongbin2,HUANG Yucheng1,FENG Song1,HU Jianzhong1   

  1. (1.Department of Network and Information,Xiangya Hospital,Central South University,Changsha 410008;2.Key Laboratory of  Science and Technology of Information System Engineering,National University of Defense Technology,Changsha 410073,China)
  • Received:2012-05-07 Revised:2012-09-21 Online:2012-11-25 Published:2012-11-25

Abstract:

Clustering of information unit entity based on the semantic similarity between the distribute information source is the important step of global view construction for information sharing in the virtual organization. This paper orienting the demands of constructing the global unified view of distribute information, using a metadata model based on ontology and the semantic similarity, defines the semantic clustering feature(SCF). And with the definition of SCF, this paper designs a SCF based hybrid hiberarchy clustering algorithm, and presents the analysis of the algorithm from theory and experiment.

Key words: ontology;metadata model;semantic similarity;semantic cluster feature;clustering