XML数据集成中的推理与合并

Zijing Tan, Wei Wang, Baile Shi
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引用次数: 1

摘要

在本文中,我们研究了在一个目标模式下利用目标约束来集成来自不同来源的XML数据的问题。我们认识到目标约束在数据集成中是必要的,因为目标约束是数据语义的重要组成部分,并且应该被集成的数据所满足。当集成来自多个数据源的数据和重叠数据时,约束也可以表示目标上的数据合并规则。我们给出了一个通用的XML约束模型来表达目标约束,它扩展了关系等式生成和元组生成依赖关系。我们提供了一种追踪方法,根据目标约束推断集成XML文档中的数据,方法是推断未显式给出的数据值,并在必要时插入新的子树。单例约束和键约束用于唯一地指定某个实体,作为集成中数据合并的规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reasoning and Merging in XML Data Integration
In this paper, we study the problem of making use of target constraints to integrate XML data from different sources under a target schema. We recognize that target constraints are necessary in data integration, as the constraints are essential part of data semantics, and should be satisfied by integrated data. When integrating data from multiple data sources with overlapping data, constraints can express data merging rules at the target as well. We give a general constraint model for XML to express target constraints, which extends the relational equality-generating and tuple- generating dependencies. We provide a chase method to reason about data in the integrated XML document based on target constraints, by inferring data values not given explicitly, and inserting new subtrees as necessary. Singleton and key constraints are used to uniquely specify a certain entity, as a rule for data merging in the integration.
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