Creating and Utilizing Linked Open Statistical Data for the Development of Advanced Analytics Services.

Evangelos Kalampokis, Areti Karamanou, Andriy Nikolov, Peter N. Haase, Richard Cyganiak, Bill Roberts, Paul Hermans, Efthimios Tambouris, Konstantinos A. Tarabanis · 2014

Abstract. A major part of Open Data concerns statistics such as population figures, economic and social indicators. The adoption of the Linked Data principles and technologies has promised to enhance the analysis of statistical data at a Web scale. Statistical data, however, is typically organized in data cubes where a numeric fact is categorized by dimensions. Both data cubes and Linked Data introduce complexity that raises the barrier for opening up and reusing statistical data. In this paper we describe the first release of the OpenCube toolkit that aims at supporting the whole lifecycle of linked data cubes. In particular, the OpenCube toolkit supports transforming raw data into RDF data cubes, attaching metadata, and providing query access to them. In addition, the toolkit enables linked data cube browsing and exploration as well as performing data analytics in an easy manner.

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