Adoption of the Linked Data Best Practices in Different Topical Domains

  • Max Schmachtenberg
  • Christian Bizer
  • Heiko Paulheim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8796)

Abstract

The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and metadata provision. In 2011, the State of the LOD Cloud report analyzed the adoption of these best practices by linked datasets within different topical domains. The report was based on information that was provided by the dataset publishers themselves via the datahub.io Linked Data catalog. In this paper, we revisit and update the findings of the 2011 State of the LOD Cloud report based on a crawl of the Web of Linked Data conducted in April 2014. We analyze how the adoption of the different best practices has changed and present an overview of the linkage relationships between datasets in the form of an updated LOD cloud diagram, this time not based on information from dataset providers, but on data that can actually be retrieved by a Linked Data crawler. Among others, we find that the number of linked datasets has approximately doubled between 2011 and 2014, that there is increased agreement on common vocabularies for describing certain types of entities, and that provenance and license metadata is still rarely provided by the data sources.

Keywords

Linked Open Data Web of Linked Data Best Practices 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Max Schmachtenberg
    • 1
  • Christian Bizer
    • 1
  • Heiko Paulheim
    • 1
  1. 1.Research Group Data and Web ScienceUniversity of MannheimGermany

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