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Link Discovery on AIS and Contextual data sets

Georgios Santipantakis; George Vouros; Apostolos Glenis; Christos Doulkeridis; Akrivi Vlachou


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  <identifier identifierType="DOI">10.5281/zenodo.2597641</identifier>
  <creators>
    <creator>
      <creatorName>Georgios Santipantakis</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
    <creator>
      <creatorName>George Vouros</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
    <creator>
      <creatorName>Apostolos Glenis</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
    <creator>
      <creatorName>Christos Doulkeridis</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
    <creator>
      <creatorName>Akrivi Vlachou</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Link Discovery on AIS and Contextual data sets</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-03-18</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2597641</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2597640</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h2020_datacron</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This data set contains the links discovered between AIS synopses provided in https://zenodo.org/record/2576152 and contextual data sets available at https://zenodo.org/record/2576584 . Specifically, the detected relations and the contextual data sets used are:&lt;/p&gt;

&lt;p&gt;a) C1 ports of Brittany, World Port Index and SeaDataNet fishing ports for proximity relation &amp;quot;nearto&amp;quot;, stored in AIS_nearto_ports.ttl.7z&lt;/p&gt;

&lt;p&gt;b) C4 fishing areas (European Commission) for &amp;quot;within&amp;quot; relation stored in AIS_within_fishingAreas.ttl.7z&lt;/p&gt;

&lt;p&gt;c) C5 fishing interdiction for &amp;quot;within&amp;quot; relation stored in AIS_within_FishingConstraints.ttl.7z&lt;/p&gt;

&lt;p&gt;d) C5 Natura2000 for &amp;quot;within&amp;quot; relation stored in AIS_within_natura2000.ttl.7z&lt;/p&gt;

&lt;p&gt;Please notice that the attached data sets contain only the detected links. Description of the resources is provided in the corresponding TTL files.&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/H2020/687591/">687591</awardNumber>
      <awardTitle>Big Data Analytics for Time Critical Mobility Forecasting</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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