The Role of Domain Ontology for Medical Emergency Management in Mass Gatherings

被引:4
作者
Haghighi, Pari Delir [1 ]
Burstein, Frada [1 ]
Zaslavsky, Arkady [2 ]
Arbon, Paul [3 ]
Krishnaswami, Shonali [1 ]
机构
[1] Monash Univ, Caulfield, Vic 3145, Australia
[2] Lulea Univ Technol, Lulea, Sweden
[3] Flinders Univ S Australia, Bedford Pk, SA, Australia
来源
BRIDGING THE SOCIO-TECHNICAL GAP IN DECISION SUPPORT SYSTEMS: CHALLENGES FOR THE NEXT DECADE | 2010年 / 212卷
关键词
Decision Support Systems; decision making; ontologies; medical emergency management; SYSTEMS;
D O I
10.3233/978-1-60750-577-8-520
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mass gatherings are common events that typically attract large crowds of people. If such events are not properly planned, coordinated and managed with regard to health and safety issues, they can become hazardous and lead to injuries, illnesses and deaths. Conducting a safe and successful mass gathering event requires effective planning and management including the provision of timely medical care and response. To achieve these goals, there is a need for a unifying and formal model/framework of mass gatherings that can be applied across all the emergency agencies and events, and used in support of time-critical decision making for medical emergency management in this context. However, the absence of a common knowledge structure and conceptual model in Medical Emergency Management in Mass Gathering (MEMMG), acknowledged in the literature, limits our understanding of such events and impedes the effectiveness of decision support systems in these environments. In this paper, we propose domain ontology for MEMMG that represents main concepts of mass gatherings and their characteristics and relationships in a standard and formal manner. The proposed domain ontology is an instantiation and extension of DOEM (Domain Ontology for Emergency Management) that represents major generic concepts in the emergency management and can be used as information structure for the development of various emergency management decision support systems. We illustrate application of such an ontology to the classical Intelligence-Design-Choice-Implementation decision support model.
引用
收藏
页码:520 / 531
页数:12
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