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Tuple source relational model : A source-aware data model for multidatabases

机译:元组源关系模型:用于多数据库的源感知数据模型

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In some integration projects, complete integration of database instances may not be necessary. It may also be too costly and impossible to do so due to poor local data quality and insufficient instance-level knowledge. In this research, we study how multidatabases with global schemas should be represented and manipulated when the data instances from the local databases do not require to be fully integrated. We propose the tuple source (TS) relational model to represent multidatabases under such an integration requirement. This model extends the classical relational model by augmenting every relation with a source attribute to identify the local database that the tuples come from. The source attribute can also be used to specify the right context to interpret global data instances. To manipulate TS relations, we have developed a set of tuple source relational algebraic operations and an extended SQL query language known as TS-SQL. With TS relational model, flexible multidatabase queries that involve instances from different local databases can be formulated easily. In this paper, we also reported our distributed query processing and optimization strategies and their implementation.
机译:在某些集成项目中,可能不需要完全集成数据库实例。由于本地数据质量差和实例级知识不足,这样做可能也太昂贵且不可能。在这项研究中,我们研究当本地数据库中的数据实例不需要完全集成时,应如何表示和处理具有全局模式的多数据库。在这种集成需求下,我们提出了元组源(TS)关系模型来表示多数据库。该模型通过使用源属性扩展每个关系来标识元组来自的本地数据库,从而扩展了经典关系模型。 source属性还可用于指定正确的上下文来解释全局数据实例。为了处理TS关系,我们开发了一组元组源关系代数运算和称为TS-SQL的扩展SQL查询语言。使用TS关系模型,可以轻松地制定涉及来自不同本地数据库的实例的灵活的多数据库查询。在本文中,我们还报告了我们的分布式查询处理和优化策略及其实现。

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