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Converting Probabilistic Relational Data to Probabilistic XML Data Tree

机译:将概率关系数据转换为概率XML数据树

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As a kind of special XML data, probabilistic XML has been also presented as the de facto standard for probability data exchange on the web. And there are a mass of probabilistic relational data. In order to realize the conversion of probabilistic relational data to probabilistic XML data, the representation methods of probability data in the probabilistic relational data and in the probabilistic XML data are firstly analyzed separately. And the probabilistic XML data tree is a classical probabilistic data model with some distribution nodes. The conversion process of probabilistic relational data to probabilistic XML data is composed of two stages what are schema conversion and data conversion. Algorithm PRS2PDTD converts the probabilistic relational schema to the probabilistic DTD, while preserving semantic constraints of the original probabilistic relational schema. And algorithm PRD2PT converts probabilistic relational data to the probabilistic XML data tree. The instance analysis results show that the algorithms are effective methods for conversion of the existent probabilistic relational data to the probabilistic XML data.
机译:概率XML作为一种特殊的XML数据,也已被提出作为Web上概率数据交换的事实上的标准。并且有大量的概率关系数据。为了实现概率关系数据到概率XML数据的转换,首先分别分析了概率关系数据和概率XML数据中概率数据的表示方法。概率XML数据树是带有一些分布节点的经典概率数据模型。概率关系数据到概率XML数据的转换过程包括两个阶段,即模式转换和数据转换。算法PRS2PDTD将概率关系模式转换为概率DTD,同时保留原始概率关系模式的语义约束。算法PRD2PT将概率关系数据转换为概率XML数据树。实例分析结果表明,该算法是将现有的概率关系数据转换为概率XML数据的有效方法。

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