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.
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.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第1期106-112,共7页
Journal of South China University of Technology(Natural Science Edition)
基金
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)
关键词
语义网
描述逻辑
云模型
语义表示
semantic Web
description logic
cloud model
semantic representation