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ICT tools for creating, expanding and exploiting statistical linked Open Data

Article type: Research Article

Authors: Kalampokis, Evangelosa; b; * | Tambouris, Efthimiosa; b | Tarabanis, Konstantinosa; b

Affiliations: [a] University of Macedonia, Egnatia 156, 54006, Thessaloniki, Greece | [b] Information Technologies Institute, Centre for Research & Technology - Hellas, 6th km Xarilaou - Thermi, Thessaloniki 57001, Greece

Correspondence: [*] Corresponding author: Evangelos Kalampokis, University of Macedonia, Egnatia 156, 54006, Thessaloniki, Greece. E-mail:[email protected]

Keywords: Linked data, Open Data, statistics, data cube, data analytics

DOI: 10.3233/SJI-150190

Journal: Statistical Journal of the IAOS, vol. 33, no. 2, pp. 503-514, 2017

Published: 12 May 2017
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Abstract

A major part of Open Data concerns statistics such as financial and social indicators. Accurate and reliable statistics provide the solid ground for performing analyses that support businesses and governments in understanding the world and making better decisions. More importantly, the combination of statistical figures coming from disparate sources can unveil unexpected and unexplored insights. The adoption of the Linked Data principles and technologies has promised to facilitate data integration at a Web scale. In this paper, we describe the development of tools that support the whole lifecycle of linked statistical data including creation, expansion, and exploitation. Our approach is based on actively engaging organizations handling statistics as part of their everyday activities. The final technological outcome is the OpenCube Toolkit, a software platform that includes a set of relevant tools.

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