摘要
在很多现实世界应用中存在着大量的不精确性和不确定性信息,正是由于这个原因,基于各类数据模型的模糊数据建模的研究已经广泛展开.当前互联网上存在大量的电子数据资源,XML已经成为Web上信息表示和交换的标准,但现有的XML研究成果难以满足Web环境下智能化数据管理的需求.文中从数据库信息建模的角度入手,基于模糊集和可能性分布理论,识别出XML文档中的多粒度数据模糊性,进一步研究了模糊XML模型.在形式化给出映射规则的基础上,通过给出转化算法实现了从模糊关系数据库到模糊XML模型的转化.最后,通过例子证实了所提转化方法的有效性.文中所提出的转化方法为全面构建模糊XML数据管理体系提供了理论基础.
Information imprecision and uncertainty exist in many real-world applications and for this reason fuzzy data modeling has been extensively investigated in various data models.Currently,huge amounts of electronic data are available on the Internet,and XML has been the de-facto standard of information representation and exchange over the Web.Current efforts fall short in their ability to satisfy the requirement of intelligent management over XML data.Therefore,beginning with an investigation of data modeling,the authors identify multiple granularity of data fuzziness in XML and fuzzy XML data model based on the theory of fuzzy set and possibility distributions.The authors further investigate the formal conversions from the fuzzy relational databases to the fuzzy XML model,which is established by introducing a series of mapping rules,and demonstrate the validity of the proposed approach by using a practical case.The conversions from the fuzzy relational databases to the fuzzy XML model lay a theoretical foundation for establishing the overall management system of fuzzy XML data.
出处
《计算机学报》
EI
CSCD
北大核心
2011年第2期291-303,共13页
Chinese Journal of Computers
基金
国家自然科学基金(60873010
61073139)
教育部新世纪优秀人才支持计划(NCET-05-0288)和教育部中央高校基本科研业务费专项(N090504005
N100604017
N090604012)资助
关键词
XML
模糊集
可能性分布
关系数据库
映射
XML
fuzzy sets
possibility distributions
relational databases
mapping
