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|Booktitle=EKAW 2014
 
|Booktitle=EKAW 2014
 
|Pages=250-265
 
|Pages=250-265
|Publisher=Springer International Publishing  
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|Publisher=Springer International Publishing
|Address=Switzerland
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|Address=Sweden
 
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datasets with the Merge-Cubes operation and show the feasibility of the
 
datasets with the Merge-Cubes operation and show the feasibility of the
 
analytical operations for integrating government statistics.
 
analytical operations for integrating government statistics.
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|Download=Global-cube-kaempgen-ekaw-own version v2.pdf,
 
|Projekt=LD-Cubes, LisKo, SFB/Transregio 125, Software Campus
 
|Projekt=LD-Cubes, LisKo, SFB/Transregio 125, Software Campus
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
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* Presentation held at conference: [[Media:Ekaw_kaempgen_global_cube_EKAW_v3.pdf]]
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* Evaluation website to paper: http://linked-data-cubes.org/index.php/Global_Cube_Evaluation_EKAW14

Aktuelle Version vom 17. Januar 2015, 13:08 Uhr


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



Forschungsgruppe

Wissensmanagement


Forschungsgebiet