10.5281/zenodo.2843851
https://zenodo.org/records/2843851
oai:zenodo.org:2843851
Abdel-Qader, Mohammad
Mohammad
Abdel-Qader
0000-0002-9702-1953
Christian-Albrechts University
Vagliano, Iacopo
Iacopo
Vagliano
0000-0002-3066-9464
ZBW - Leibniz Information Centre for Economics
Scherp, Ansgar
Ansgar
Scherp
0000-0002-2653-9245
University of Essex
Statistics of the Network of Linked Vocabularies
Zenodo
2019
Linked Data
Network Analysis
Vocabularies Evolution over time
Ontologies
2019-05-15
eng
10.5281/zenodo.2843850
https://zenodo.org/communities/moving-h2020
Creative Commons Attribution Non Commercial Share Alike 4.0 International
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.
European Commission
10.13039/501100000780
693092
Training towards a society of data-savvy information professionals to enable open leadership innovation