Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (1): 175-178.

• 软件、算法与仿真 • 上一篇    下一篇

一种本体学习中的领域概念筛选算法

王红滨1,刘大昕1,王念滨1,王桐2   

  1. (1. 哈尔滨工程大学计算机科学与技术学院, 黑龙江 哈尔滨 150001; 2. 哈尔滨工程大学信息与通信工程学院, 黑龙江 哈尔滨 150001)
  • 出版日期:2010-01-23 发布日期:2010-01-03

Research on sieving algorithm of domain-specific concept from ontology learning

WANG Hong-bin1, LIU Da-xin1, WANG Nian-bin1, WANG Tong2   

  1. (1.Coll. of Computer Science and Technology, Harbin Engineering Univ., Harbin 150001, China;2.Information and Communication Engineering  Coll., Harbin Engineering Univ., Harbin 150001, China)
  • Online:2010-01-23 Published:2010-01-03

摘要:

由于现有领域概念筛选方法中领域筛选存在不准确的缺点,提出了一种改进的本体学习中的领域概念筛选算法。该算法针对领域相关度和领域一致度公式存在的信息描述不全的缺点进行改进,给出了改进公式和领域概念筛选算法。实验数据表明,该方法提高了领域概念筛选的有效性,取得了很好的效果。

Abstract:

According to the inaccurate faults of domain-specific concept sieving methods in the ontology learning at present, an improved sieving algorithm of the domain-specific concept is presented. Aiming at the faults of unilateral description information in domain relevance expressions and domain consensus expressions, the improved expression and algorithm are described. The experimental results display the effectiveness of domain-specific concept sieving is improved by the proposed algorithm.