摘要
为了完整地反映人类对客观世界认知的不精确性,在讨论语义Web粗糙模糊本体定义以及组成模型的基础上,研究了基于概念格的语义Web粗糙模糊本体构建方法。根据实际领域中的模糊形式背景,采用粗糙集的方法对其划分,使用上近似模糊概念和下近似模糊概念近似地表示粗糙模糊概念,并构建粗糙模糊概念格,最终使用OWL将粗糙模糊概念格中的概念和概念之间的关系代码化,构建生成语义Web粗糙模糊本体。
To completely reflect the imprecision of human＇s cognition about the objective world, and based on the definition and the model of semantic Web rough fuzzy ontology, the concept lattice method about semantic Web rough fuzzy ontology＇s construction is studied. A fuzzy formal context which extracted from actual field is divided by the method of rough set. And the rough fuzzy concepts are approximately expressed with the upper approximate fuzzy concepts and the lower approximate fuzzy concepts. Based on these, the rough fuzzy concept lattice is constructed and it is coded with the web ontology language （OWL）. Finally, a new semantic Web rough fuzzy ontology is constructed.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第11期4002-4006,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(60972090)
关键词
语义Web粗糙模糊本体
上近似模糊概念
下近似模糊概念
粗糙模糊概念
概念格
semantic web rough fuzzy ontology
upper approximation fuzzy concept
lower approximation fuzzy concept
roughfuzzy concept
concept lattice
