• DocumentCode
    2568744
  • Title

    An enhanced spatial reasoning ontology for maritime anomaly detection

  • Author

    Vandecasteele, A. ; Napoli, Antonio

  • Author_Institution
    Centre for Crisis & Risk Res., MINES ParisTech, Sophia Antipolis, France
  • fYear
    2012
  • fDate
    16-19 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Although originally conceived as a conceptual object for modelling knowledge, current ontologies do not make it possible to manipulate spatial knowledge. However, spatial knowledge is an essential component of any modelling specification. This problem provided the motivation for the creation of an expert system driven by an ontology. The system enables experts in the maritime domain to characterise abnormal ship behaviour based on formal semantic properties. Users are able to specify and execute spatial rules that are directly integrated into the ontology and a map interface linked to the ontology displays the results of the inferences obtained.
  • Keywords
    expert systems; marine engineering; ontologies (artificial intelligence); security of data; ships; spatial reasoning; abnormal ship behaviour; expert system; formal semantic properties; knowledge modelling; map interface; maritime anomaly detection; maritime domain; modelling specification; spatial knowledge; spatial reasoning ontology; spatial rule; Cognition; Geographic information systems; Marine vehicles; OWL; Ontologies; Semantics; Trajectory; Abnormal Maritime Behaviour; Spatial Ontology; Spatial Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering (SoSE), 2012 7th International Conference on
  • Conference_Location
    Genoa
  • Print_ISBN
    978-1-4673-2974-3
  • Type

    conf

  • DOI
    10.1109/SYSoSE.2012.6384120
  • Filename
    6384120