publication . Other literature type . Part of book or chapter of book . Conference object . 2019

Analyzing the Evolution of Linked Vocabularies

Mohammad Abdel-Qader; Iacopo Vagliano; Ansgar Scherp;
  • Published: 16 May 2019
  • Publisher: Springer International Publishing
Abstract
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 degre...
Subjects
free text keywords: Linked Data, Vocabularies, Ontologies, Evolution over time, Network analysis, Information retrieval, Reuse, Deprecated, Computer science, Data modeling, Vocabulary, media_common.quotation_subject, media_common, Ontology, World Wide Web
Related Organizations
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
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publication . Other literature type . Part of book or chapter of book . Conference object . 2019

Analyzing the Evolution of Linked Vocabularies

Mohammad Abdel-Qader; Iacopo Vagliano; Ansgar Scherp;