• DocumentCode
    1865504
  • Title

    Ontology-Based Ship Fire Risk Assessment

  • Author

    Ning Liu ; Guanyu Li ; Chen Qu ; Shan Liu

  • Volume
    1
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    552
  • Lastpage
    555
  • Abstract
    Since the ship fire is a result of multiple risk factors combined effect, its assessment is a process of multiple risk factors quantification analysis. Majority of these risk factors, which are often intangible, dynamic, and artificial, are very difficult to be quantified. To solve this problem, a method named as ontology Based ship fire risk assessment is proposed. Firstly, the ship fire ontology is constructed in order to obtain the seed ontology. Secondly, the seed ontology is transformed into a two-dimensional evaluation form. Finally, Bayes network inference is applied into the assessment process. The experimental result reveals that the proposed method not only can solve the problem of multiple risk factors quantification, but also can facilitate inter-domain resource sharing between fire fighting area and shipping area, so that the ship fire risk assessment can be implemented efficiently and uniformly.
  • Keywords
    fires; ontologies (artificial intelligence); risk management; ships; fire fighting area; inter-domain resource sharing; multiple risk factors quantification analysis; ontology-based ship fire risk assessment; seed ontology; ship fire ontology; shipping area; two-dimensional ontology evaluation; Cognition; Fires; Marine vehicles; Ontologies; Probabilistic logic; Risk management; Uncertainty; fire safety; ontology; quantitative analysis; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.137
  • Filename
    6643949