Poster Open Access

MARITIME DATA INTEGRATION AND ANALYSIS: RECENT PROGRESS AND RESEARCH CHALLENGES

Claramunt, Christophe; Ray, Cyril; Camossi, Elena; Hadzagic, Melita; Jousselme, Anne-Laure; Andrienko, Gennady; Andrienko, Natalia; Theodoridis, Yannis; Vouros, George A.; Salmon, Loic


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  <identifier identifierType="DOI">10.5281/zenodo.2557432</identifier>
  <creators>
    <creator>
      <creatorName>Claramunt, Christophe</creatorName>
      <givenName>Christophe</givenName>
      <familyName>Claramunt</familyName>
      <affiliation>NAVAL ACADEMY RESEARCH INSTITUTE, FRANCE</affiliation>
    </creator>
    <creator>
      <creatorName>Ray, Cyril</creatorName>
      <givenName>Cyril</givenName>
      <familyName>Ray</familyName>
      <affiliation>NAVAL ACADEMY RESEARCH INSTITUTE, FRANCE</affiliation>
    </creator>
    <creator>
      <creatorName>Camossi, Elena</creatorName>
      <givenName>Elena</givenName>
      <familyName>Camossi</familyName>
      <affiliation>NATO STO CMRE</affiliation>
    </creator>
    <creator>
      <creatorName>Hadzagic, Melita</creatorName>
      <givenName>Melita</givenName>
      <familyName>Hadzagic</familyName>
      <affiliation>NATO STO CMRE</affiliation>
    </creator>
    <creator>
      <creatorName>Jousselme, Anne-Laure</creatorName>
      <givenName>Anne-Laure</givenName>
      <familyName>Jousselme</familyName>
      <affiliation>NATO STO CMRE</affiliation>
    </creator>
    <creator>
      <creatorName>Andrienko, Gennady</creatorName>
      <givenName>Gennady</givenName>
      <familyName>Andrienko</familyName>
      <affiliation>FRAUNHOFER INSTITUTE, GERMANY</affiliation>
    </creator>
    <creator>
      <creatorName>Andrienko, Natalia</creatorName>
      <givenName>Natalia</givenName>
      <familyName>Andrienko</familyName>
      <affiliation>FRAUNHOFER INSTITUTE, GERMANY</affiliation>
    </creator>
    <creator>
      <creatorName>Theodoridis, Yannis</creatorName>
      <givenName>Yannis</givenName>
      <familyName>Theodoridis</familyName>
      <affiliation>UNIVERSITY OF PIRAEUS, GREECE</affiliation>
    </creator>
    <creator>
      <creatorName>Vouros, George A.</creatorName>
      <givenName>George A.</givenName>
      <familyName>Vouros</familyName>
      <affiliation>UNIVERSITY OF PIRAEUS, GREECE</affiliation>
    </creator>
    <creator>
      <creatorName>Salmon, Loic</creatorName>
      <givenName>Loic</givenName>
      <familyName>Salmon</familyName>
      <affiliation>NAVAL ACADEMY RESEARCH INSTITUTE, FRANCE</affiliation>
    </creator>
  </creators>
  <titles>
    <title>MARITIME DATA INTEGRATION AND ANALYSIS: RECENT PROGRESS AND RESEARCH CHALLENGES</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Big Data</subject>
    <subject>Analytics</subject>
    <subject>Air Traffic Management</subject>
    <subject>Maritime Situational Awareness</subject>
    <subject>Data Management</subject>
    <subject>Visual Analytics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-02-05</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2557432</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2557431</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h2020_datacron</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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;Online tracking, early recognition of events, and real-time forecast of vessels trajectories are crucial to safety and operations at sea !&lt;br&gt;
Objective is to review research challenges tied to the integration, management, analysis, and visualization of moving objects at sea as well as a recommendations for a successful development of maritime forecasting and decision-support 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/H2020/687591/">687591</awardNumber>
      <awardTitle>Big Data Analytics for Time Critical Mobility Forecasting</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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