• DocumentCode
    242913
  • Title

    Using Ontologies for Proposing Adequate Geovisual Analytics Solutions in the Analysis of Trajectories

  • Author

    Vatin, Gabriel ; Napoli, Antonio

  • Author_Institution
    CRC - Centre for Res. on Risks & Crises, MINES ParisTech, Sophia Antipolis, France
  • fYear
    2014
  • fDate
    16-18 July 2014
  • Firstpage
    176
  • Lastpage
    182
  • Abstract
    This paper presents an original approach for supporting the use of geovisual analytics solutions. Many models have been proposed to characterize information visualization methods, but few have been integrated to an intelligent process for supporting user in geo-information usage. Moreover, several new solutions are continuously proposed by research, but few of them are really used in operational world. For instance, the maritime surveillance systems could gain much more identification capabilities of ship behaviors with adequate geovisual analytics solutions. Therefore, we investigated the use of geovisual methods for the analysis of mobility data, such as ship trajectories. We propose a knowledge-based system using ontologies and rules. These allow modeling the domain of geovisual analytics solutions, and their capacities in the exploration and the analysis of trajectories. This system would be used to support users in geovisual analytics of movement, based on their context of use.
  • Keywords
    data visualisation; geographic information systems; knowledge based systems; ontologies (artificial intelligence); geo-information usage; geovisual analytics solution; information visualization; knowledge-based system; mobility data; ontologies; ship trajectory; trajectory analysis; Analytical models; Context; Data models; Data visualization; Marine vehicles; Ontologies; Visualization; analysis support; geovisual analytics; maritime domain awareness; ontologies; rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2014 18th International Conference on
  • Conference_Location
    Paris
  • ISSN
    1550-6037
  • Type

    conf

  • DOI
    10.1109/IV.2014.26
  • Filename
    6902900