吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

本体领域综合概念相似度计算中的权重确定方法

成锦晖, 郑山红, 李万龙, 岳绍敏   

  1. 长春工业大学 计算机科学与工程学院, 长春 130012
  • 收稿日期:2013-12-09 出版日期:2014-11-26 发布日期:2014-12-11
  • 通讯作者: 李万龙 E-mail:lwl@mail.ccut.edu.cn

Weight Determine Method for Comprehensive SimilarityCalculation about Concept of Ontology

CHENG Jinhui, ZHENG Shanhong, LI Wanlong, YUE Shaomin   

  1. School of Computer Science & Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2013-12-09 Online:2014-11-26 Published:2014-12-11
  • Contact: LI Wanlong E-mail:lwl@mail.ccut.edu.cn

摘要:

利用粗糙集及条件信息熵的相关理论, 针对基于相似度计算的本体映射方法在相似度融合时权重过分依赖专家参与等问题, 给出一种自动确定权重的策略, 并通过实例验证了该方法的可行性. 该方法充分考虑在信息量不确定情况下, 用各属性对系统信息熵的影响程度确定各属性在当前信息系统中所占的权重, 从而使本体的自动
化映射和语义网的实时服务成为可能.

关键词: 本体, 相似度, 概念相似度, 粗糙集, 信息熵, 权重

Abstract:

Using the theory of rough set and conditional information entropy, we presented a strategy to automatically determine the weight in connection with determining weight in integrated similarity calculation relying too heavily on domain experts in the ontology mapping method based on similarity calculation. In full consideration of uncertain information using the influence degree of each attribute on the system information entropy to determine each attribute’s weight in the current information system made the automatic mapping of ontology and semantic network realtime services possible. At last, the feasibility of this method was verified by examples.

Key words: ontology, similarity, concept similarity, rough set, information entropy, weight

中图分类号: 

  • TP391