摘要
XML(Extensible Markup Language)已经成为Web上数据表示与交换的标准,而信息的不精确性和不确定性又广泛存在于现实世界应用中。虽然模糊信息在关系数据库框架下已经被广泛讨论,但是传统的关系数据库模型及其模糊扩展形式不能满足表示和处理Web上复杂模糊对象的需要。基于可能性分布,研究在XML模型和IFO数据模型——一种概念数据模型中进行模糊信息建模,给出把模糊IFO数据模型映射成模糊XML DTD模型的形式化方法。
XML has been the de-facto standard of information representation and exchange over Web. In addition, im- precise and uncertain data are inherent in the real world. Although fuzzy information has been extensively investigated in the context of relational model, the classical relational database model and its fuzzy extension to date do not satisfy the need of modeling complex objects with imprecision and uncertainty on the Web. Based on possibility distributions, this paper concentrated on fuzzy information modeling in the fuzzy XML model and the fuzzy IFO model. In particular, the formal approach to mapping a fuzzy IFO model to a fuzzy DTD model was developed.
出处
《计算机科学》
CSCD
北大核心
2011年第12期156-161,共6页
Computer Science
基金
国家自然科学基金(60873010)
中央直属高校基本科研业务费专项(N090504005)资助
