Conference paper Open Access

Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud

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


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  <identifier identifierType="DOI">10.5281/zenodo.1285833</identifier>
  <creators>
    <creator>
      <creatorName>Abdel-Qader, Mohammad</creatorName>
      <givenName>Mohammad</givenName>
      <familyName>Abdel-Qader</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9702-1953</nameIdentifier>
      <affiliation>Christian-Albrechts University, Kiel, Germany and ZBW- Leibniz Information Centre for Economics, Kiel, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Scherp, Ansgar</creatorName>
      <givenName>Ansgar</givenName>
      <familyName>Scherp</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2653-9245</nameIdentifier>
      <affiliation>Christian-Albrechts University, Kiel, Germany and ZBW- Leibniz Information Centre for Economics, Kiel, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Vagliano, Iacopo</creatorName>
      <givenName>Iacopo</givenName>
      <familyName>Vagliano</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3066-9464</nameIdentifier>
      <affiliation>ZBW- Leibniz Information Centre for Economics, Kiel, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Vocabulary changes, Terms adoption, Deprecated terms, Wikidata, DyLDO, BTC</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-06-03</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1285833</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy">10.1007/978-3-319-93417-4_1</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1285832</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/moving-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Vocabularies are used for modeling data in Knowledge Graphs (KGs) like the Linked Open Data Cloud and Wikidata. During their lifetime, vocabularies are subject to changes. New terms are coined, while existing terms are modified or deprecated. We first quantify the amount and frequency of changes in vocabularies. Subsequently, we investigate to which extend and when the changes are adopted in the evolution of KGs. We conduct our experiments on three large-scale KGs: the Billion Triples Challenge datasets, the Dynamic Linked Data Observatory dataset, and Wikidata. Our results show that the change frequency of terms is rather low, but can have high impact due to the large amount of distributed graph data on the web. Furthermore, not all coined terms are used and most of the deprecated terms are still used by data publishers. The adoption time of terms coming from different vocabularies ranges from very fast (few days) to very slow (few years). Surprisingly, we could observe some adoptions before the vocabulary changes were published. Understanding the evolution of vocabulary terms is important to avoid wrong assumptions about the modeling status of data published on the web, which may result in difficulties when querying the data from distributed sources.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/693092/">693092</awardNumber>
      <awardTitle>Training towards a society of data-savvy information professionals to enable open leadership innovation</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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