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Querying the Global Cube: Integration of Multidimensional Datasets from the Web

机译:查询全局多维数据集:Web多维数据集的集成

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National statistical indicators such as the Gross Domestic Product per Capita are published on the Web by various organisations such as Eurostat, the World Bank and the International Monetary Fund. Uniform access to such statistics will allow for elaborate analysis and visualisations. Though many datasets are also available as Linked Data, heterogeneities remain since publishers use several identifiers for common dimensions and differing levels of detail, units, and formulas. For queries over the Global Cube, i.e., the integration of available datasets modelled in the RDF Data Cube Vocabulary, we extend the well-known Drill-Across operation over data cubes to consider implicit overlaps between datasets in Linked Data. To evaluate more complex mappings we define the Convert-Cube operation over values from a single dataset. We generalise the two operations for arbitrary combinations of multiple datasets with the Merge-Cubes operation and show the feasibility of the analytical operations for integrating government statistics.
机译:欧洲统计局,世界银行和国际货币基金组织等各种组织在网上发布了国家统计指标,例如人均国内生产总值。统一访问此类统计信息将可以进行详细的分析和可视化。尽管许多数据集也可以用作链接数据,但是由于发布者使用多个标识符来表示公共维度以及不同级别的详细信息,单位和公式,因此仍然存在异构性。对于通过全局多维数据集进行的查询,即RDF数据多维数据集词汇表中建模的可用数据集的集成,我们将众所周知的Drill-Across操作扩展到数据多维数据集,以考虑链接数据中数据集之间的隐式重叠。为了评估更复杂的映射,我们对单个数据集中的值定义了Convert-Cube操作。我们使用Merge-Cubes运算对两个数据集的任意组合进行通用化,并展示了分析运算用于整合政府统计数据的可行性。

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