On the graph structure of the Web of Data
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/60567DOI: 10.4018/IJSWIS.2018040104
ISSN: 1552-6283
Publisher
IGI Global
Date
2018-04-01Funders
European Commission
Bibliographic citation
Nogales Moyano, A., Sicilia, M.A. & García Barriocanal, E. 2022, “On the graph structure of the Web of Data”, International Journal on Semantic Web & Information Systems, vol. 14, no. 2, pp 70-85.
Keywords
Linked Open Data
Semantic Web
Web
Web of Data
Project
info:eu-repo/grantAgreement/EC/FP7/ICT-318497
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.4018/IJSWIS.2018040104Rights
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
© 2018 IGI Global
Access rights
info:eu-repo/semantics/openAccess
Abstract
This article describes how the Web of Data has emerged as the realization of a machine readable web relying on the resource description framework language as a way to provide richer semantics to datasets. While the web of data is based on similar principles as the original web, being interlinked in the principal mechanism to relate information, the differences in the structure of the information is evident. Several studies have analysed the graph structure of the web, yielding important insights that were used in relevant applications. However, those findings cannot be transposed to the Web of Data, due to fundamental differences in the production, link creation and usage. This article reports on a study of the graph structure of the Web of Data using methods and techniques from similar studies for the Web. Results show that the Web of Data also complies with the theory of the bow-tie. Other characteristics are the low distance between nodes or the closeness and degree centrality are low. Regarding the datasets, the biggest one is Open Data Euskadi but the one with more connections to other datasets is Dbpedia.
Files in this item
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Graph_Nogales_IJSWIS_2022.pdf | 1.228Mb |
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Graph_Nogales_IJSWIS_2022.pdf | 1.228Mb |
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