Abstract: Uncertainty of mass data storage and recording and the extensive application of XML in the extension make that the XML association event probability data model has become a hot topic. Based on the existent probability models, this article describes the complex event probabilistic data model, and puts forward the conception of multidimensional uncertainty probability model space. Furthermore, the paper unifies modeling?of?multiple?probability models, and extends the single dimension XML probability node to multidimensional space, and then defines the uniform spatial query, provides a new theory method of modeling and query optimization of complex probabilistic data model.

Key words: Extensive Markup Language（XML）, uncertainty, multi-dimensional space, probability model, related events

摘要： 不确定海量数据存储与记录的广泛应用及其在XML上的扩展，使XML的关联事件概率的数据模型研究成为研究热点，以描述复杂事件的概率数据模型为目标，在当前已有概率模型的基础上，提出了多维不确定概率模型空间的概念，基于多个概率模型进行统一建模，并把单维XML概率节点引申到多维空间，进而定义了统一的空间查询方式，为复杂概率数据建模和查询优化提供了一种新颖的理论方法。

关键词: 可扩展标示语言（XML）, 不确定性, 多维空间, 概率模型, 关联事件