面向语义Web语义表示的模糊描述逻辑

蒋运承; 史忠植; 汤庸; 王驹

引用本文:	蒋运承,史忠植,汤庸,王驹.面向语义Web语义表示的模糊描述逻辑.软件学报,2007,18(6):1257-1269

【打印本页】【下载PDF全文】【查看/发表评论】【EndNote】【RefMan】【BibTex】

←前一篇|后一篇→

过刊浏览高级检索

本文已被：浏览 4878次下载 7118次	码上扫一扫！
分享到：微信更多字体:加大+\|默认\|缩小-
面向语义Web语义表示的模糊描述逻辑
蒋运承^1,2, 史忠植³, 汤庸¹, 王驹²
1.中山大学,计算机科学系,广东,广州,510275;2.广西师范大学,计算机科学与信息工程学院,广西,桂林,541004;3.中国科学院,计算技术研究所,北京,100080

摘要:

分析了语义Web语义表示理论的研究现状及存在的问题,提出了一种新的面向语义Web语义表示的模糊描述逻辑FSHOIQ(fuzzy SHOIQ).给出了FSHOIQ的语法和语义,提出了FSHOIQ的模糊Tableaux的概念,给出了一种基于模糊Tableaux的FSHOIQ的ABox约束下的可满足性推理算法,证明了可满足性推理算法的正确性.提出了FSHOIQ的TBox扩展和去除方法,并证明了FSHOIQ的TBox约束下的包含推理问题可以转化为ABox约束下的可满足性推理问题.FSHOIQ为语义Web表示和推理模糊知识提供了理论基础.

关键词: 语义Web 描述逻辑 FSHOIQ(fuzzy SHOIQ) 语义表示

DOI：

分类号:

基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60663001, 60673135, 60373081, 60573010 (国家自然科学基金); the National Basic Research Program of China under Grant No.2003CB317004 (国家重点基础研究发展计划(973)); the Natural Science Key Foundation of Guangdong Province of China under Grant No.04105503 (广东省自然科学重点基金); the Program for New Century Excellent Talents in University of China (新世纪优秀人才支持计划); the Young Science Foundation of Guangxi Province of China under Grant No.GUIKEQING-0640030 (广西青年科学基金)

Fuzzy Description Logic for Semantics Representation of the Semantic Web

JIANG Yun-Cheng,SHI Zhong-Zhi,TANG Yong,WANG Ju

Abstract:

he current research progresses and the existing problems of smantics representation of the semantic Web are analyzed. A kind of new fuzzy description logic FSHOIQ (fuzzy SHOIQ) for semantics representation of the semantic Web is presented, and the syntax and semantics of FSHOIQ are given. The fuzzy Tableaux of FSHOIQ is presented, then the ABox satisfiability reasoning algorithm of FSHOIQ based on the fuzzy Tableaux is presented, and the correctness of the satisfiability reasoning algorithm is proved. The TBox expansion and elimination methods are presented. It is proved that TBox subsumption reasoning problem may be translated into a satisfiability reasoning problem in FSHOIQ. Theoretical foundation for fuzzy knowledge representation and reasoning of the semantic Web is provided through FSHOIQ.

Key words: semantic Web description logic FSHOIQ (fuzzy SHOIQ) semantics representation