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