• DocumentCode
    632124
  • Title

    Research on emergency case ontology model based on ABC ontology

  • Author

    Zhang Bai-shang ; Li Xiang-yang ; Li Jun

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    227
  • Lastpage
    233
  • Abstract
    The understanding and description of emergency case plays an important role in emergency decision-making in the process of CBR (Case-based Reasoning). However, most people usually have semantic conflict with each other in the understanding of emergency case, which weakens the effect of emergency decision-making severely. In order to resolve this problem, this paper analyzed the structure of the emergency case and extended the ABC ontology model on the basis of emergency case. Then, this paper proposed emergency case ontology model which was called ECOM for short after above steps. Finally, the paper tested the consistency of ECOM with Racer and conducted application study by modeling knowledge of emergency case in power-repairing. The application results show that the model can effectively describe emergency cases.
  • Keywords
    case-based reasoning; decision making; emergency services; ontologies (artificial intelligence); ABC ontology-based emergency case ontology model; CBR; ECOM; Racer; case-based reasoning; emergency decision-making; power-repairing emergency case; Abstracts; Cognition; Decision making; Emergency services; Ontologies; Organizations; Personnel; ABC ontology; case-based reasoning; emergency case; ontology model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2013 International Conference on
  • Conference_Location
    Harbin
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4799-0473-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2013.6586287
  • Filename
    6586287