A publishing pipeline for Linked Government Data

Presented at: 9th Extended Semantic Web Conference (ESWC2012)

by Fadi Maali, Richard Cyganiak, Vassilios Peristeras

We tackle the problem of high cost associated with generating Linked Government Data (LGD). Our approach is centered around the idea of "self-service LGD". The self-service approach is enabled through an end-to-end publishing pipeline that enables transforming raw government data into interlinked RDF. The cost reduction involved is achieved through: (i) shifting the burden of Linked Data conversion towards the data consumer (ii) integrating all the steps involved into a single workbench (iii) providing graphical user interfaces (iv) enabling result sharing with sufficient provenance information. We present the implementation of the publishing pipeline and describe its application to a local government catalogue in Ireland resulting in a significant amount of Linked Data published.

Keywords: Google Refine, LGD, Linked Data, Linked Government Data, dcat


Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2012/paper/research/84


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