基于XML的不确定时空数据模型

由于在传送过程中存在数据失真、丢失或者网络延迟等原因,时空数据的不确定性普遍存在且无法避免,因此需要研究一个折中办法,使其不影响对数据的处理.基于XML建立不确定时空数据模型表达时空数据具有更多优势,可以更好地管理不确定时空数据.传统的关系数据库对数据的表示以关系为基础,对时间的表示有大量的数据冗余,使其不能很好地表示不确定时空数据.基于XML构建不确定时空数据的表示模型,对各个节点分类,对于特殊的不确定节点,引入概率属性来表述,提高了数据表示能力.

An Uncertain Spatiotemporal Data Model Based on XML

Uncertainty in spatiotemporal data is common and inevitable because of data distortion， data loss， or network delay. Accordingly， an approach that can process spatiotemporal data without being affected should be proposed. XML makes it powerful to model， represent， and manage uncertain spatiotemporal data. Data in traditional relational database is based on relations. When representing temporal attributes， it can generate a large amount of data redundancy. Therefore， it cannot represent uncertain spatiotemporal data in relational database effectively. The uncertain spatiotemporal data model was proposed to improve the ability of data representation， which was consist of classifying different kinds of XML nodes and introducing probability attributes to represent uncertain spatiotemporal XML nodes.