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[Author] Zongtian LIU(1hit)

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  • Pattern-Based Ontology Modeling and Reasoning for Emergency System

    Yue TAN  Wei LIU  Zhenyu YANG  Xiaoni DU  Zongtian LIU  

     
    PAPER-Artificial Intelligence, Data Mining

      Pubricized:
    2018/06/05
      Vol:
    E101-D No:9
      Page(s):
    2323-2333

    Event-centered information integration is regarded as one of the most pressing issues in improving disaster emergency management. Ontology plays an increasingly important role in emergency information integration, and provides the possibility for emergency reasoning. However, the development of event ontology for disaster emergency is a laborious and difficult task due to the increasingly scale and complexity of emergencies. Ontology pattern is a modeling solution to solve the recurrent ontology design problem, which can improve the efficiency of ontology development by reusing patterns. By study on characteristics of numerous emergencies, this paper proposes a generic ontology pattern for emergency system modeling. Based on the emergency ontology pattern, a set of reasoning rules for emergency-evolution, emergency-solution and emergency-resource utilization reasoning were proposed to conduct emergency knowledge reasoning and q.