A Publishing Pipeline for Linked Government Data

  • Fadi Maali
  • Richard Cyganiak
  • Vassilios Peristeras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7295)


We tackle the challenges involved in converting raw government data into high-quality Linked Government Data (LGD). Our approach is centred around the idea of self-service LGD which shifts the burden of Linked Data conversion towards the data consumer. The self-service LGD is supported by a publishing pipeline that also enables sharing the results with sufficient provenance information. We describe how the publishing pipeline was applied to a local government catalogue in Ireland resulting in a significant amount of Linked Data published.


Link Data SPARQL Query Government Data Data Consumer Provenance Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fadi Maali
    • 1
  • Richard Cyganiak
    • 1
  • Vassilios Peristeras
    • 2
  1. 1.Digital Enterprise Research InstituteNUI GalwayIreland
  2. 2.Interoperability Solutions for European Public AdministrationsEuropean CommissionBelgium

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