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2016
Conference Paper
Title

LODStats: The data web census dataset

Abstract
Over the past years, the size of the Data Web has increased significantly, which makes obtaining general insights into its growth and structure both more challenging and more desirable. The lack of such insights hinders important data management tasks such as quality, privacy and coverage analysis. In this paper, we present the LODStats dataset, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats is based on RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9000 RDF datasets. For each RDF dataset, LODStats collects comprehensive statistics and makes these available in adhering to the LDSO vocabulary. This analysis has been regularly published and enhanced over the past five years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.
Author(s)
Ermilov, Ivan
Lehmann, Jens  
Martin, Michael
Auer, Sören  
Mainwork
The semantic web - ISWC 2016. 15th International Semantic Web Conference. Pt.2  
Conference
International Semantic Web Conference (ISWC) 2016  
DOI
10.1007/978-3-319-46547-0_5
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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