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.
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Maali, F., Cyganiak, R., Peristeras, V. (2012). A Publishing Pipeline for Linked Government Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds) The Semantic Web: Research and Applications. ESWC 2012. Lecture Notes in Computer Science, vol 7295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30284-8_59
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DOI: https://doi.org/10.1007/978-3-642-30284-8_59
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