A publishing pipeline for linked government data

  • Authors:
  • Fadi Maali;Richard Cyganiak;Vassilios Peristeras

  • Affiliations:
  • Digital Enterprise Research Institute, NUI Galway, Ireland;Digital Enterprise Research Institute, NUI Galway, Ireland;Interoperability Solutions for European Public Administrations, European Commission, Belgium

  • Venue:
  • ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
  • Year:
  • 2012

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Abstract

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.