• DocumentCode
    130995
  • Title

    A spatial awareness case-based reasoning approach for typhoon disaster management

  • Author

    Xi Zhou ; Fei Wang

  • Author_Institution
    Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    893
  • Lastpage
    896
  • Abstract
    Knowledge learning from similar historical cases is critical for emergency decision making against typhoons. Case-based reasoning technology is increasingly adopted to find the appropriate disaster cases matched to current typhoons. However, the matching results is not satisfying. The reasons are that the typhoon disaster case repository is lacking in a unified and comprehensive specification and that the important spatial attributes of cases are often overlooked or simply described. Based on the investigation of practical typhoon cases, a novel approach is proposed to define the case with explicit and comprehensive spatial multi-elements. With the spatial analysis function and the data management capabilities of GIS, the spatial awareness CBR method is discussed. Lastly, a framework of applying the prosed method to Guangdong Emergency Platform System for testifying is introduced.
  • Keywords
    case-based reasoning; decision making; emergency management; geographic information systems; learning (artificial intelligence); storms; GIS; Guangdong emergency platform system; comprehensive spatial multi-elements; data management capabilities; disaster cases; emergency decision making; explicit spatial multi-elements; knowledge learning; spatial analysis function; spatial awareness CBR method; spatial awareness case-based reasoning approach; typhoon disaster case repository; typhoon disaster management; Cognition; Disaster management; Floods; Geographic information systems; Sociology; Statistics; Tropical cyclones; Case-based reasoning (CBR); GIS; spatial awareness; typhoon disaster management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933709
  • Filename
    6933709