ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.091
An Agent-Based Framework to Model Integration for Disaster Emergency Management
Abstract— Model integration is a core issue in the field of disaster emergency management. Models are
extremely significant and intelligent resource to improve the ability of decision making in order to alleviate
the disaster impacts. Traditionally, practical approach to integrate those models into system is tight-coupling
with data sources which lacks of flexibility and re-usability. To cope with this problem, we propose an agentbased
loose-coupling framework to model integration and execution for disaster emergency management. We
encapsulate models and related, heterogeneous data sources into a standard form using a formal specification.
Based on the loose-coupling framework and the standard form, we design a model executing process, which
can be divided into five phases and follows the request-reply architecture. Finally, we briefly give a case
study based on a real disaster situation: Lu Shan County earthquake in China, to demonstrate the
effectiveness and efficiency regarding the proposed framework.
Index Terms— model management; decision support systems; disaster emergency management
Qin-Yong Li, Jian-Gong Song, Jiang-Hua Lv, Shi-Long Ma
Cite: Qin-Yong Li, Jian-Gong Song, Jiang-Hua Lv, Shi-Long Ma, "An Agent-Based Framework to Model Integration for Disaster Emergency Management," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 540-544, Tokyo, 17-19 June, 2016.