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Eleventh International Network Conference (INC 2016)
Title: A Field Study on Linked and Open Data at Datahub.io
Author(s): Timm Heuss, Janina Fengel, Bernhard Humm, Bettina Harriehausen-Mühlbauer, Shirley Atkinson
Keywords: Open Data, Linked Data, Linked Open Data, Semantic Web, datahub.io
Abstract: We describe and conduct a study on datahub.io to explore to what, in practice, Linked and Open Data refers to. We focus on the use of formats, licenses, ages and popularity of the data. An in-depth analysis reveals information about availability, quantity, structure and vocabulary usage of the real-world RDF- based datasets contained. Results show that the most common formats are Microsoft Excel, CSV and RDF. High proportions of structured data is of tabular nature, independent from the format. The heuristics and evaluation methods developed here are released as open source and can be applied to other CKAN- based repositories and RDF-based datasets, too.
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