LODStats: The Data Web Census Dataset

  • Ivan Ermilov
  • Jens Lehmann
  • Michael Martin
  • Sören Auer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9982)

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.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ivan Ermilov
    • 1
  • Jens Lehmann
    • 2
  • Michael Martin
    • 1
  • Sören Auer
    • 2
  1. 1.AKSW, Institute of Computer ScienceUniversity of LeipzigLeipzigGermany
  2. 2.University of Bonn and Fraunhofer IAISBonnGermany

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