概率关系模式与概率XML模式转换算法的研究*

通过比较基于可能世界模型的概率数据在关系数据模型和XML数据模型中的表示方法，根据概率属性与普通属性的关系把概率关系模式分为1NF和3NF，根据分布节点与普通节点的关系把概率XML模式也分为1NF和3NF，以扩展的概率DTD文件为例设计了概率关系模式和概率XML模式之间的转换算法。实例分析结果表明该算法是有效的，也为现存的概率关系数据与概率XML数据之间提供了一种有效的模式转换方法。

Research on conversion algorithm between probabilistic relation schema and probabilistic XML schema

This paper compared the representation method of probabilistic data based on possible world model in relation data model with of in XML data model. Distinguished probabilistic relation schema between the 1NF schema and the 3NF schema based on the relation of probability attribute and ordinary attribute. And also distinguished probabilistic XML schema between the 1NF schema and the 3NF schema based on the relation of probability node and ordinary node. Designed the conversion algorithms between probabilistic relation schema and probabilistic XML schema, i.e. extended DTD document. The instance analysis results show that the algorithms are effective. And it provided an effective schema conversion method between the existent probabilistic relation data transformation and probabilistic XML data.