摘要
经典OWL本体不能直接表示和处理语义Web应用中广泛存在的模糊知识,鉴于模糊关系数据库在模糊数据表示与处理方面的优势,提出利用模糊关系数据库来构建模糊OWL本体.通过对RDF数据类型进行模糊扩展,并从模糊数据类型角度扩展OWL,解决了模糊OWL本体的表示问题;在此基础上,研究了以模糊关系数据库为数据源的模糊OWL本体的构建方法,该方法为语义Web中模糊本体的构建提供了一个有效的解决方案.
Classical OWL ontologies can not directly represent and process fuzzy knowledge that is widespread in many Semantic Web applications.Considering the advantage of fuzzy relational databases in the representation and management of fuzzy data,construction of fuzzy ontologies by making use of fuzzy relational databases is proposed.The RDF data types are fuzzy extended and the OWL is extended from the aspect of fuzzy data types,which can solve the problem of representing fuzzy OWL ontologies.On this basis,a method of constructing fuzzy OWL ontologies using fuzzy relational databases as data source is studied,which provides an efficient solution to the construction of fuzzy ontologies in the Semantic Web.
出处
《小型微型计算机系统》
CSCD
北大核心
2011年第5期854-859,共6页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60873010)资助
教育部新世纪优秀人才支持计划项目(NCET-05-0288)资助
教育部高等学校博士学科点专项科研基金项目(20050145024)资助
