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首页> 外文期刊>Fundamenta Informaticae >A Unified Approach to Multisource Data Analyses
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A Unified Approach to Multisource Data Analyses

机译:统一的多源数据分析方法

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摘要

Classically, Data Warehouses (DWs) supports business analyses on data coming from the inside of an organization. Nevertheless, Lined Open Data (LOD) might sensibly complete these business analyses by providing complementary perspectives during a decision-making process. In this paper, we propose a conceptual modeling solution, named Unified Cube, which blends together multidimensional data from DWs and LOD datasets without materializing them in a stationary repository. We complete the conceptual modeling with an implementation framework which manages the relations between a Unified Cube and multiple data sources at both schema and instance levels. We also propose an analysis processing process which queries different sources in a transparent way to decision-makers. The practical value of our proposal is illustrated through real-world data and benchmarks.
机译:传统上,数据仓库(DW)支持对来自组织内部的数据进行业务分析。但是,通过在决策过程中提供互补的观点,内联开放数据(LOD)可能会明智地完成这些业务分析。在本文中,我们提出了一种名为Unified Cube的概念建模解决方案,该解决方案将DW和LOD数据集中的多维数据混合在一起,而无需在固定存储库中实现它们。我们使用实现框架来完成概念建模,该框架在架构和实例级别管理统一多维数据集与多个数据源之间的关系。我们还提出了一种分析处理过程,以对决策者透明的方式查询不同的来源。我们的建议的实用价值通过实际数据和基准得以说明。

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