计算机技术在时空应用领域的广泛应用，导致了海量时空数据的出现，有效地表示和处理大规模时空数据已经受到国内外研究者的高度重视。由于时空应用领域广泛存在着不确定性，不确定时空数据管理因而成为了时空数据管理的一项重要研究内容。XML作为Web数据表示与交换事实上的标准，其树型结构及半结构化的特点使得它在时空数据以及不确定数据管理方面具有独特的优势，并发挥着越来越重要的作用。 项目致力于模糊时空数据XML表示与查询处理的研究，研究内容覆盖与之相关的若干关键技术：模糊时空UML和XML数据模型，模糊时空UML数据模型与模糊时空XML模型之间的映射，基于模糊时空XML模型的时空语义关系分析、代数操作与一致性、查询与索引。通过在这些关键技术上取得系列原创性研究成果，开发出支持和实现相关理论框架和形式化方法的原型系统，丰富和发展现有的时空数据库理论，为Web环境下智能时空信息系统的开发奠定坚实的理论基础。

With extensive applications of computer in spatio-temporal domains, mass spatio-temporal data are emerging. How to represent and process huge spatio-temporal data effectively and efficiently has being received more attention.Uncertainties inherently exist in many spatio-temporal domains and so uncertain spatio-temporal data management has been a crucial research topic in the atea of spatio-temporal data management. Being the de facto standard of data representation and exchange over the Web, XML has its unique advantage and is hereby playing an increasing important role in managing spatio-temporal data as well as uncertain data since it can remain tree structure and contain semi-structure data. The proposed project investigates how to represent and query fuzzy spatio-temporal information in XML. The major issues involve in several key techniques related to fuzzy spatio-temporal XML modeling and query, including fuzzy spatio-temporal UML data model, fuzzy spatio-temporal XML model, formal mapping between fuzzy spatio-temporal UML data model and fuzzy spatio-temporal XML model, spatio-temporal semantic relationship analyses in fuzzy spatio-temporal XML model, algebraic operations and consistencies in fuzzy spatio-temporal XML model, and queries and index in fuzzy spatio-temporal XML model. Some original results of these key techniques are obtained and several prototypes, which support the proposed theoretical frameworks and formal methodologies, are developed. As a result, the existing theories of spatio-temporal databases are enriched and evolved, and a solid foundation can be put for constructing Web-based intelligent spatio-temporal information systems.