时空数据库的目的是管理、分析和处理时空数据，时空应用中大规模复杂模糊时空数据的建模、推理及查询是时空数据库真正付诸实践的关键技术。然而在传统数据库中时空数据的模糊扩展以及结构的严格限制等问题尚不能满足高效处理大量复杂类型模糊时空对象的应用需求。因此，基于扩展性良好且具有树型结构等特征的XML研究能够支持复杂模糊时空数据表示和推理的数据模型，并实现大规模复杂模糊时空数据的查询成为真正实现模糊时空数据高效管理亟待解决的重要问题。本项目从支持模糊时空语义和约束的数据模型入手，深入系统的研究时空应用中模糊时空XML数据的建模、推理及查询问题，目标在于形成有关复杂模糊时空XML数据从建模到推理和查询的完整框架并突破其中的关键技术。项目的研究内容将为大规模复杂模糊时空XML数据的建模、推理及查询提供理论和技术上的解决方案，从而为时空应用中模糊时空XML数据管理的实现奠定坚实的理论基础。

The purpose of spatiotemporal database is managing, analyzing, and processing spatiotemporal data. Modeling, reasoning, and querying large-scale complex fuzzy spatiotemporal data in spatiotemporal applications are the key techniques for the success and proliferation of spatiotemporal database. However, fuzzy extensions of spatiotemporal data and strict restrictions on structure of spatiotemporal data have limitations in traditional database, and cannot meet the demand of spatiotemporal applications that deals with much complex fuzzy spatiotemporal objects. As a result, based on XML, which has good extensibility and characteristics such as tree structure, studies on modeling complex fuzzy spatiotemporal data which can support the representation and reasoning of complex fuzzy spatiotemporal data, and querying complex fuzzy spatiotemporal data become important issues to be solved for effectively implementing fuzzy spatiotemporal data management. Starting with models supporting fuzzy spatiotemporal semantics and restrictions, the project will deeply and systematically study the issues of modeling, reasoning, and querying fuzzy spatiotemporal XML data in spatiotemporal applications, so as to form a comprehensive framework of modeling, reasoning, and querying the complex fuzzy spatiotemporal XML data, and break through some key techniques. The project will provide theoretical and technical solutions for modeling, reasoning, and querying large-scale complex fuzzy spatiotemporal XML data, and thus lay a solid theoretical foundation for the implementation of fuzzy spatiotemporal XML data management in spatiotemporal applications.