Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey


  • Khadidja Bouchelouche LMCS, Ecole Nationale Supérieure d'Informatique, ESI
  • Abdessamed Réda Ghomari LMCS, Ecole Nationale Supérieure d'Informatique, ESI
  • Leila Zemmouchi-Ghomari Ecole Nationale Supérieure de Technologie, ENST



Open Government Data, Linked Open Data, Transformation approaches


Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.

Author Biography

Leila Zemmouchi-Ghomari, Ecole Nationale Supérieure de Technologie, ENST

Leila Zemmouchi-Ghomari is currently an associate professor at ENST: Ecole Nationale Supérieure de Technologie, Algiers, Algeria.
She received her PhD in Computer Science (information systems) from ESI, Ecole Nationale Supérieure d’Informatique, Algiers, Algeria, in January 2014.
Her research interests focus on Ontology Engineering, Web of Data, Linked Data, and Open Data.


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How to Cite

Bouchelouche, K., Ghomari, A. R. ., & Zemmouchi-Ghomari, L. (2021). Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey. International Journal of Computer and Information Technology(2279-0764), 10(1).