2862549
doi
10.1007/978-3-030-19274-7_29
oai:zenodo.org:2862549
user-moving-h2020
Vagliano, Iacopo
ZBW - Leibniz Information Centre for Economics
Scherp, Ansgar
University of Essex
Analyzing the Evolution of Linked Vocabularies
Abdel-Qader, Mohammad
Christian-Albrechts University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Linked Data
Vocabularies
Ontologies
Evolution over time
Network analysis
<p>Reusing terms 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. So far, there has been no study that analyzes vocabulary changes in NeLO over time. To address this shortcoming, we compute the state of NeLO from the available versions of the vocabularies over 17 years. We analyze static parameters of NeLO such as its size, density, average degree, and the most important vocabularies at certain points in time. We further investigate how NeLO changes over time. Specifically, we measure the impact of a change in one vocabulary to others, how the reuse of terms changes, and the importance of vocabularies changes. Our analyses provide for the first time in-depth insights into the structure and evolution of NeLO. This study helps ontology engineers to identify shortcomings of the data modeling and to assess the dependencies implied with reusing a specific vocabulary.</p>
This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Bakaev M., Frasincar F., Ko IY. (eds) Web Engineering. ICWE 2019. Lecture Notes in Computer Science, vol 11496. Springer, Cham, https://doi.org/10.1007/978-3-030-19274-7_29.
Zenodo
2019-05-16
info:eu-repo/semantics/conferencePaper
2862548
user-moving-h2020
award_title=Training towards a society of data-savvy information professionals to enable open leadership innovation; award_number=693092; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/693092; funder_id=00k4n6c32; funder_name=European Commission;
1579532927.962531
9679686
md5:020bc56dcc3624c64e58a83b01058dc8
https://zenodo.org/records/2862549/files/NeLO.pdf
public