摘要
基于精确本体的推理机不能够直接应用到粗糙本体的知识推理中,因此目前还没有适合粗糙本体的推理机。根据粗糙本体的特点,将其中的粗糙集、粗糙描述逻辑、粗糙包含和知识推理作为研究对象,在此基础上将基于描述逻辑的推理方法与基于规则的推理方法相结合,提出一种粗糙本体支持的知识推理框架,实现了粗糙本体的推理功能,解决了针对不确定信息的知识推理问题。
It is known that the precise ontology based reasoner can not be directly applied to the rough ontology of knowledge reasoning, so there is no suitable rough ontology reasoner at present. According to the characteristics of rough ontology, rough set, rough description logics, rough subsumption and knowledge reasoning should be taken into consideration. Combining rulebased reasoning method with description logics, a rough ontology aided knowledge reasoning framework is proposed to achieve rough ontology reasoning and solve the knowledge reasoning problem for the uncertain information.
出处
《计算机工程与应用》
CSCD
2013年第10期40-44,83,共6页
Computer Engineering and Applications
基金
国家自然科学基金项目(No.60972090
No.61073057)
关键词
粗糙集
粗糙描述逻辑
粗糙本体
知识推理
rough set
rough description logics
rough ontology
knowledge reasoning
