• DocumentCode
    2294054
  • Title

    DL-Based the Knowledge Description of Emergency Plan Systems and Its Application

  • Author

    Cunxiang, Dong ; Wenjun, Wang ; Peng, Yang

  • Author_Institution
    Comput. Sci. & Technol. Sch., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    4-6 June 2009
  • Firstpage
    364
  • Lastpage
    368
  • Abstract
    Emergency plans are the substantial foundations to deal with emergency incidents. Emergency plan systems, which are organized sets that are composed of interrelated emergency plans, provide guides for enacting and revising emergency plans. However, the knowledge description of emergency plan systems does not have unambiguous and uniform expressions and result in the semantics clash. Different emergency plan systems can not cooperate, share and reuse each other. This paper provides the knowledge base of emergency plan systems with description logic DL to solve these problems. In this paper we analyses the concepts and relations of the emergency plan system in detail, describe the knowledge base of emergency plan systems with DL and also validates this knowledge base by using the DL reasoning services. Finally an experiment is given, in which, a semantic query model based DL is built to account for the application of the emergency plan system knowledge base in semantics search.
  • Keywords
    emergency services; formal logic; knowledge representation languages; DL reasoning services; description logic; emergency incidents; emergency plan systems; knowledge description; semantic query model; semantic reasoning; Application software; Computer science; Disaster management; Knowledge engineering; Knowledge representation; Logic; Management information systems; Multimedia systems; NIST; Ontologies; DL; emergency plan systems; knowledge description; semantic reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3658-3
  • Type

    conf

  • DOI
    10.1109/MUE.2009.99
  • Filename
    5318920