Dataset Open Access

Composite Maritime Events

Manolis Pitsikalis; Alexander Artikis


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        "name": "Anne-Laure Jousselme"
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    "title": "Composite Maritime Events", 
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    "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"
    ], 
    "keywords": [
      "Complex Event Processing", 
      "Complex Event Recognition", 
      "Maritime Situational Indicator", 
      "Maritime Surveillance", 
      "Maritime Situational Awareness"
    ], 
    "publication_date": "2019-02-05", 
    "creators": [
      {
        "affiliation": "NCSR Demokritos", 
        "name": "Manolis Pitsikalis"
      }, 
      {
        "affiliation": "University of Piraeus", 
        "name": "Alexander Artikis"
      }
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    "description": "<p>The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ship-to-ship transfer, etc.), recognised by <a href=\"https://github.com/aartikis/RTEC\">RTEC</a> on semantically annotated AIS position signals, over a period of six months, from approx. 5K vessels sailing around the port of Brest, France.</p>\n\n<p>The dataset of AIS position signals is available <a href=\"https://zenodo.org/record/1167595\">here</a>. The semantic annotation of the AIS signals is available <a href=\"https://zenodo.org/record/2563256\">here</a>.&nbsp;</p>\n\n<p>Information on the specification of the composite maritime events is available here:</p>\n\n<p><a href=\"https://dl.acm.org/citation.cfm?id=3329762\">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</a></p>"
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Views 259259
Downloads 4747
Data volume 1.2 GB1.2 GB
Unique views 208208
Unique downloads 4040

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