Abstract
This demo presents LODStats, a web application for collection and exploration of the Linked Open Data statistics. LODStats consists of two parts: the core collects statistics about the LOD cloud and publishes it on the LODStats web portal, a front-end for exploration of dataset statistics. Statistics are published both in human-readable and machine-readable formats, thus allowing consumption of the data through web front-end by the users as well as through an API by services and applications. As an example for the latter we showcase how to visualize the statistical data with the CubeViz application.
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© 2013 Springer-Verlag Berlin Heidelberg
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Ermilov, I., Martin, M., Lehmann, J., Auer, S. (2013). Linked Open Data Statistics: Collection and Exploitation. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_19
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DOI: https://doi.org/10.1007/978-3-642-41360-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41359-9
Online ISBN: 978-3-642-41360-5
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