Conference paper Open Access

Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Troumpoukis, Antonis; Charalambidis, Angelos; Mouchakis, Giannis; Konstantopoulos, Stasinos; Siebes, Ronald; de Boer, Victor; Soiland-Reyes, Stian; Digles, Daniela


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  <identifier identifierType="DOI">10.5281/zenodo.159568</identifier>
  <creators>
    <creator>
      <creatorName>Troumpoukis, Antonis</creatorName>
      <givenName>Antonis</givenName>
      <familyName>Troumpoukis</familyName>
      <affiliation>NCSR "Demokritos"</affiliation>
    </creator>
    <creator>
      <creatorName>Charalambidis, Angelos</creatorName>
      <givenName>Angelos</givenName>
      <familyName>Charalambidis</familyName>
      <affiliation>NCSR "Demokritos"</affiliation>
    </creator>
    <creator>
      <creatorName>Mouchakis, Giannis</creatorName>
      <givenName>Giannis</givenName>
      <familyName>Mouchakis</familyName>
      <affiliation>NCSR "Demokritos"</affiliation>
    </creator>
    <creator>
      <creatorName>Konstantopoulos, Stasinos</creatorName>
      <givenName>Stasinos</givenName>
      <familyName>Konstantopoulos</familyName>
      <affiliation>NCSR "Demokritos"</affiliation>
    </creator>
    <creator>
      <creatorName>Siebes, Ronald</creatorName>
      <givenName>Ronald</givenName>
      <familyName>Siebes</familyName>
      <affiliation>VU University Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>de Boer, Victor</creatorName>
      <givenName>Victor</givenName>
      <familyName>de Boer</familyName>
      <affiliation>VU University Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>Soiland-Reyes, Stian</creatorName>
      <givenName>Stian</givenName>
      <familyName>Soiland-Reyes</familyName>
      <affiliation>eScience Lab, The University of Manchester</affiliation>
    </creator>
    <creator>
      <creatorName>Digles, Daniela</creatorName>
      <givenName>Daniela</givenName>
      <familyName>Digles</familyName>
      <affiliation>University of Vienna</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Developing a Benchmark Suite for Semantic Web Data from Existing Workflows</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Triple store benchmarking</subject>
    <subject>Pharmacology data</subject>
    <subject>Distributed and federated querying</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-10-18</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/159568</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">http://ceur-ws.org/Vol-1700/paper-04.pdf</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">http://ceur-ws.org/Vol-1700</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/deg</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecfunded</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper presents work in progress towards developing a new benchmark for federated query processing systems. Unlike other popular benchmarks, our queryset is not driven by technical evaluation, but is derived from workflows established by the pharmacology community. The value of this queryset is that it is realistic but at the same time it comprises complex queries that test all features of modern query processing systems.&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/H2020/644564/">644564</awardNumber>
      <awardTitle>Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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