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Open AccessFeature PaperArticle

Interoperability Conflicts in Linked Open Statistical Data

Information Systems Lab, University of Macedonia, Egnatia 156, 54636 Thessaloniki, Greece
Author to whom correspondence should be addressed.
Information 2019, 10(8), 249;
Received: 31 May 2019 / Revised: 24 July 2019 / Accepted: 24 July 2019 / Published: 27 July 2019
(This article belongs to the Special Issue Linked Open Data)
PDF [1246 KB, uploaded 5 August 2019]


An important part of Open Data is of a statistical nature and describes economic and social indicators monitoring population size, inflation, trade, and employment. Combining and analyzing Open Data from multiple datasets and sources enable the performance of advanced data analytics scenarios that could result in valuable services and data products. However, it is still difficult to discover and combine Open Statistical Data that reside in different data portals. Although Linked Open Statistical Data (LOSD) provide standards and approaches to facilitate combining statistics on the Web, various interoperability challenges still exist. In this paper, we propose an Interoperability Framework for LOSD, comprising definitions of LOSD interoperability conflicts as well as modelling practices currently used by six official open government data portals. Towards this end, we combine a top-down approach that studies interoperability conflicts in the literature with a bottom-up approach that studies the modelling practices of data portals. We define two types of LOSD schema-level conflicts, namely naming conflicts and structural conflicts. Naming conflicts result from using different URIs. Structural conflicts result from different practices of modelling the structure of data cubes. Only two out of the 19 conflicts are currently resolved and 11 can be resolved according to literature. View Full-Text
Keywords: linked open statistical data; data cubes; multidimensional data; interoperability linked open statistical data; data cubes; multidimensional data; interoperability

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Kalampokis, E.; Karamanou, A.; Tarabanis, K. Interoperability Conflicts in Linked Open Statistical Data. Information 2019, 10, 249.

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