Dataset Open Access

Statistics of the Network of Linked Vocabularies

Abdel-Qader, Mohammad; Vagliano, Iacopo; Scherp, Ansgar

Reusing terms in the Linked Open Data cloud results in a Network of Linked vOcabularies (NeLO), where the nodes are the vocabularies that use at least one term from some other vocabulary and thus depend on each other. These dependencies become a problem when vocabularies in the network change, e.g., when terms are deprecated or deleted. In these cases, all dependent vocabularies in the network need to be updated. To address this shortcoming, we compute the state of NeLO from the available versions of the vocabularies in a period of time of over 17 years.

Specifically, we provide the following statistics for each vocabulary in each year from 2001 and 2018 in three different formats (RDF/XML, JSON-LD, and CSV):

  • in-degree;
  • out-degree;
  • degree;
  • eccentricity;
  • closeness centrality;
  • harmonic closeness centrality;
  • betweenness centrality;
  • Authority;
  • Hub;
  • PageRank.

The publication in the reference contains also further information on the analyzed vocabularies and on the methodology.

This dataset is provided for non-commercial use only. If you find this dataset useful in your work, please cite the publication in the reference.

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  • Abdel-Qader, Mohammad; Vagliano, Iacopo; Scherp, Ansgar (2019): Analyzing the Evolution of Linked Vocabularies. Accepted for the ICWE2019: The 19th International Conference on Web Engineering, 11-14 June, 2019, Daejeon, Korea. DOI: https://link.springer.com/chapter/10.1007%2F978-3-030-19274-7_29

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