东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (5): 632-635.DOI: -

• 论著 • 上一篇    下一篇

语义Web规则语言的模糊扩展

王星;马宗民;孟祥福;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-05-15 发布日期:2013-06-22
  • 通讯作者: Wang, X.
  • 作者简介:-
  • 基金资助:
    教育部新世纪优秀人才支持计划项目(NCET-05-0288)

Fuzzy extension of semantic web rule language

Wang, Xing (1); Ma, Zong-Min (1); Meng, Xiang-Fu (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-05-15 Published:2013-06-22
  • Contact: Wang, X.
  • About author:-
  • Supported by:
    -

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摘要： 语义Web规则语言SWRL有较强的表达能力.但它无法表示语义Web中含有的大量不精确和不确定的知识和信息;模糊集中单个隶属度不能准确表达模糊信息;f-SWRL中的权重只能表达模糊类和模糊属性的重要程度.针对以上问题,提出了一种基于vague集的模糊SWRL的扩展形式vague SWRL,给出了二级权重的概念来修饰和限定模糊类和模糊属性的隶属度,研究了vague-SWRL的语法语义,给出了vague-SWRL的规则实例.Vague集的引入,特别是二级权重的引入,增强了模糊规则的表达能力,符合语义Web的发展趋势,具有较大的优越性.

关键词: SWRL, 模糊集, vague集, vague-SWRL, 二级权重

Abstract: Although SWRL, i.e. semantic Web rule language, has highly expressive power, it is unable to express the imprecise and uncertain knowledge/information which is so much in semantic Web. In addition, a single membership degree in fuzzy sets is inaccurate to express the fuzzy information, and the weights in f-SWRL can only express the importance of fuzzy classes and fuzzy properties. A fuzzy SWRL extension named vague-SWRL is therefore proposed on the basis of vague sets, with the notion of second-degree weight introduced to modify and restrict the membership degrees of fuzzy classes and fuzzy properties. The syntax and semantics of vague-SWRL are investigated and specified, and a rule example is given to illustrate the features of vague-SWRL. Introducing the vague sets especially the second-degree weights into rule languages, the expressive power of vague rules is enhanced so as to conform to the developmental trend of semantic Web with significant superiority.

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