Processing Linked Open Data Cubes

  • Efthimios Tambouris
  • Evangelos Kalampokis
  • Konstantinos Tarabanis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9248)


A significant part of open data provided by governments and international organizations concerns statistics such as demographics and economic indicators. The real value, however, of open statistical data will unveil from performing analytics on top of combined datasets from disparate sources. Linked data provide the most promising technological paradigm to enable such analytics across the Web. Currently, however, relevant processes and tools do not fully exploit the distinctive characteristics of statistical data. The aim of this paper is to present a process that enables publishing statistical raw data as linked data, combining statistics from multiple sources, and exploiting them in data analytics and visualizations. Moreover, the capability of existing software tools to support the vision of linked statistical data analytics is evaluated. We anticipate that the proposed process will contribute to the development of a roadmap for future research and development in the area.


Linked data Data cubes Open data Statistics Data analytics 



This work is funded by the European Commission within the 7th Framework Programme in the context of the project OpenCube ( under grand agreement No. 611667. The authors would like to thank the whole OpenCube consortium that interviewed employees from private and public organisations as well as Mr. Konstantinos Tsiftsis who analysed linked data from Eurostat and Digital Agenda and created Fig. 1.


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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Efthimios Tambouris
    • 1
    • 2
  • Evangelos Kalampokis
    • 1
    • 2
  • Konstantinos Tarabanis
    • 1
    • 2
  1. 1.University of MacedoniaThessalonikiGreece
  2. 2.Information Technologies InstituteCentre for Research and Technology – HellasThermiGreece

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