华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (1): 106-112.

• 计算机科学与技术 • 上一篇    下一篇

C—SHOIQ:描述逻辑SHOIQ的云扩展

刘杰樊孝忠陈康林培光2   

  1. 1. 北京理工大学 计算机科学技术学院, 北京 100081; 2. 山东财政学院 计算机信息工程学院, 山东 济南 250014
  • 收稿日期:2007-12-29 修回日期:2008-03-28 出版日期:2009-01-25 发布日期:2009-01-25
  • 通信作者: 刘杰(1970-),男,在职博士生,首都师范大学讲师,主要从事自然语言处理研究. E-mail:liujxxxy@126.com
  • 作者简介:刘杰(1970-),男,在职博士生,首都师范大学讲师,主要从事自然语言处理研究.
  • 基金资助:

    国家自然科学基金资助项目(60773130);教育部高等学校博士学科点专项科研基金资助项目(20050007023)

C-SHOIQ: a Cloud Extension to Description Logic SHOIQ

Liu Jie1  Fan Xiao-zhong1  Chen Kang1  Lin Pei-guang2   

  1. 1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China; 2. School of Computer and Information Engineering, Shandong University of Finance, Jinan 250014, Shandong, China
  • Received:2007-12-29 Revised:2008-03-28 Online:2009-01-25 Published:2009-01-25
  • Contact: 刘杰(1970-),男,在职博士生,首都师范大学讲师,主要从事自然语言处理研究. E-mail:liujxxxy@126.com
  • About author:刘杰(1970-),男,在职博士生,首都师范大学讲师,主要从事自然语言处理研究.
  • Supported by:

    国家自然科学基金资助项目(60773130);教育部高等学校博士学科点专项科研基金资助项目(20050007023)

摘要: 鉴于经典描述逻辑不能表达不确定知识,文中将云模型、描述逻辑SHOIQ和模糊逻辑相结合,提出了一种基于云的模糊描述逻辑C-SHOIQ,用于表达不确定知识.首先给出了C—SHOIQ的语法和语义,并以实例分析了C—SHOIQ具有处理知识的随机性和模糊性的能力;然后给出了C-SHOIQ的推理方法及映射C—SHOIQ知识库为经典SHOIQ知识库的改进规则,并论证了C—SHOIQ和对应的经典SHOIQ之间概念可满足性的一致性关系;最后论证C—SHOIQ是对模糊SHOIQ表达能力的扩展.

关键词: 语义网, 描述逻辑, 云模型, 语义表示

Abstract:

In order to overcome the shortcoming of the classical description logic in the expression of uncertain knowledge, this paper proposes a new cloud-based description logic C-SHOIQ (Cloud-SHOIQ) by combining the description logic SHOIQ with the fuzzy logic. In the investigation, first, the syntax and semantics of C-SHOIQ are presented, and the capability of processing the randomness and fuzziness of knowledge is analyzed by some exampies. Next, the reasoning approach of C-SHOIQ and the improved rules mapping the C-SHOIQ KB (Knowledge Base) to the classical SHOIQ KB are described. Then, the consistency of the satisfiability between C-SHOIQ concepts and corresponding classical SHOIQ concepts is demonstrated. Finally, the extension of expression ability of fuzzy SHOIQ to C-SHOIQ is demonstrated.

Key words: semantic Web, description logic, cloud model, semantic representation