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


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



Published: 2014

Buchtitel: EKAW 2014
Seiten: 250-265
Verlag: Springer International Publishing
Erscheinungsort: Sweden

Nicht-referierte Veröffentlichung

BibTeX

Kurzfassung
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 vi- sualisations. Though many datasets are also available as Linked Data, heterogeneities remain since publishers use several identifiers for com- mon 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 be- tween 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.

Download: Media:Global-cube-kaempgen-ekaw-own version v2.pdf

Projekt

LD-CubesLisKoSFB/Transregio 125Software Campus



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Wissensmanagement


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