2012 | OriginalPaper | Buchkapitel
A Publishing Pipeline for Linked Government Data
verfasst von : Fadi Maali, Richard Cyganiak, Vassilios Peristeras
Erschienen in: The Semantic Web: Research and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.