Dataset Open Access

Composite Maritime Events

Manolis Pitsikalis; Alexander Artikis


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  <identifier identifierType="DOI">10.5281/zenodo.2557290</identifier>
  <creators>
    <creator>
      <creatorName>Manolis Pitsikalis</creatorName>
      <affiliation>NCSR Demokritos</affiliation>
    </creator>
    <creator>
      <creatorName>Alexander Artikis</creatorName>
      <affiliation>University of Piraeus</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Composite Maritime Events</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Complex Event Processing</subject>
    <subject>Complex Event Recognition</subject>
    <subject>Maritime Situational Indicator</subject>
    <subject>Maritime Surveillance</subject>
    <subject>Maritime Situational Awareness</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-02-05</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2557290</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites">10.5281/zenodo.1167595</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites">10.5281/zenodo.2563255</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2557289</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h2020_datacron</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/infore-project</relatedIdentifier>
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  <version>0.1</version>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Creative Commons Attribution Non Commercial Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ship-to-ship transfer, etc.), recognised by &lt;a href="https://github.com/aartikis/RTEC"&gt;RTEC&lt;/a&gt; on semantically annotated AIS position signals, over a period of six months, from approx. 5K vessels sailing around the port of Brest, France.&lt;/p&gt;

&lt;p&gt;The dataset of AIS position signals is available &lt;a href="https://zenodo.org/record/1167595"&gt;here&lt;/a&gt;. The semantic annotation of the AIS signals is available &lt;a href="https://zenodo.org/record/2563256"&gt;here&lt;/a&gt;.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Information on the specification of the composite maritime events is available here:&lt;/p&gt;

&lt;p&gt;&lt;a href="https://dl.acm.org/citation.cfm?id=3329762"&gt;Pitsikalis M., Artikis A., Dreo R., Ray C., Camossi E., and Jousselme A. Composite Event Recognition for Maritime Monitoring. International Conference on Distributed and Event-Based Systems (DEBS), 2019&lt;/a&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Pitsikalis M., Kontopoulos I., Artikis A., Alevizos E., Delaunay P., Pouessel J., Dreo R., Ray C., Camossi E., Jousselme A. and Hadzagic M. Composite Event Patterns for Maritime Monitoring, 10\u1d57\u02b0 Hellenic Conference on Artificial Intelligence (SETN) 2018.", "Pitsikalis M., Artikis A., Dreo R.,  Ray C., Camossi E. and Jousselme A. Composite Event Recognition for Maritime Monitoring: Industry Paper,  \tarXiv:1903.03078"]}</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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