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DATA INTEGRATION SCHEMA ANALYSIS: AN APPROACH WITH INFORMATION QUALITY

机译:数据集成模式分析:一种信息质量方法

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Integrated access to distributed data is an important problem faced in many scientific and commercialrnapplications. A data integration system provides a unified view for users to submit queries over multiplernautonomous data sources. The queries are processed over a global schema that offers an integrated view of the datarnsources. Much work has been done on query processing and choosing plans under cost criteria. However, not sornmuch is known about incorporating Information Quality analysis into data integration systems, particularly in thernintegrated schema. In this work we present an approach of Information Quality analysis of schemas in datarnintegration environments. We discuss the evaluation of schema quality focusing in minimality and consistencyrnaspects and define some schema transformations to be applied in order to improve schema generation and,rnconsequently, the quality of data integration query execution.
机译:集成访问分布式数据是许多科学和商业应用中面临的重要问题。数据集成系统为用户提供了一个统一的视图,以供用户通过多个自治数据源提交查询。查询是在全局模式下处理的,该模式提供了数据源的集成视图。在查询处理和根据成本标准选择计划方面已经完成了许多工作。但是,对于将信息质量分析合并到数据集成系统中,特别是在集成模式中,尚不了解。在这项工作中,我们提出了一种在数据集成环境中对模式进行信息质量分析的方法。我们讨论了以最小和一致性为重点的模式质量评估,并定义了一些要应用的模式转换,以改进模式生成,从而改善数据集成查询执行的质量。

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