• DocumentCode
    3143135
  • Title

    Procedural knowledge management system emergency management for nuclear power plants

  • Author

    Ikeda, Hideto ; Serrano-Cedillo, Nestor ; Ridwan, Mohammad

  • Author_Institution
    Dept. of Comput. Sci., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2011
  • fDate
    27-29 Nov. 2011
  • Firstpage
    489
  • Lastpage
    496
  • Abstract
    This paper proposes state-oriented approach for knowledge management system, especially for risk management of nuclear power plants. The knowledge model is a kind of state flow in which each state is changed by actions and each action is activated by actors or states. To construct such knowledge base, huge manuals have been analyzed by a unique natural language processing algorithm, called a functional model of language. The authors used this knowledge model and developed an open-source platform for risk management. The system enables to develop procedural knowledge management systems that can check incompleteness, ambiguity and inconsistency of the set of procedures.
  • Keywords
    emergency services; functional languages; knowledge management; natural language processing; nuclear power stations; power engineering computing; public domain software; risk management; emergency management; functional language model; natural language processing algorithm; nuclear power plant; open-source platform; procedural knowledge management system; procedure ambiguity; procedure inconsistency; risk management; state-oriented approach; Databases; Fires; Monitoring; Organizations; Pollution measurement; Risk management; Semiconductor optical amplifiers; functional language model; knowledge management; nuclear power plant; open-source platform; procedural knowledge management; risk management; state-oriented Approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on
  • Conference_Location
    Tokushima
  • Print_ISBN
    978-1-61284-729-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2011.6138249
  • Filename
    6138249