• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (5): 118-120.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • Previous Articles     Next Articles

Research of Component Clustering Based on the Ranking Strategy

WANG Chunhong1,REN Yaopeng1,XU Xuezhou2   

  1. (1.Department of Computer Science and Technology,Yuncheng University,Yuncheng 044000;
    2.Software Engineering Institute,Xidian University,Xi’an 710071,China)
  • Received:2009-11-13 Revised:2010-02-03 Online:2010-04-28 Published:2010-05-11
  • Contact: WANG Chunhong E-mail:ycuchwang@126.com

Abstract:

The Component Library System needs to solve two core problems,which are component classification representation and component retrieval. Meanwhile, to implement component efficient retrieval is based on the component rational classification. Aiming at the subjective factors of the faceted classification representation, the component is described by the way which combines the text retrieval with the faceted classification representation, and according to the user requirements, different ranks are given to the main facets of the faceted classification schema. Then, a component clustering method based ranking strategy is proposed. The experiments prove the method is effective, which  implements a more rational classification of the components, and improves the efficiency and accuracy of component retrieval.

Key words: ranking strategy;component clustering;faceted classification;text retrieval;VSM

CLC Number: