摘要
模糊本体被广泛用来描述语义Web上的模糊信息。如何对模糊本体进行有效的存储,逐渐成为语义Web领域一个重要的研究课题。鉴于关系数据库在数据组织与管理方面的优势,提出基于关系数据库的模糊本体的存储方法。首先,通过对RDF数据类型进行模糊扩展,给出模糊本体中模糊数据类型的表示方法;然后,提出了基于关系数据库的模糊本体的存储模式以及模糊本体的结构和实例在关系数据库中的存储方法;最后,证明了该存储方法的正确性。基于关系数据库的模糊本体的存储方法为语义Web中模糊数据的存储和管理提供了一个有效的解决方案。
As fuzzy ontologies are widely used in describing fuzzy information in the Semantic Web,how to efficiently store fuzzy ontologies is becoming a more important research issue in the domain of the Semantic Web.An approach to store fuzzy ontologies based on relational databases was proposed by making use of the advantage of organizing and managing data of relational databases.Firstly,a method of representing fuzzy datatypes was introduced by fuzzy extending of the RDF datatypes.Then,the storage schema of fuzzy ontologies using relational databases was presented.On this basis,the storage processes of the fuzzy ontologies structure and instances were given.Finally,the correctness of the stotage schema of fuzzy ontologies was proved.The approach of storing fuzzy ontologies in relational databases provides an efficient solution to the storage and management of fuzzy data in the Semantic Web.
出处
《计算机科学》
CSCD
北大核心
2011年第6期217-222,245,共7页
Computer Science
基金
国家自然科学基金(60873010)
教育部新世纪优秀人才支持计划项目(NCET-05-0288)
教育部高等学校博士学科点专项科研基金资助项目(20050145024)资助
关键词
语义网
模糊本体
关系数据库
存储
信息容量
Semantic Web
Fuzzy ontologies
Relational databases
Storage
Information capacity
