Title :
Public emergency oriented SOA-based logistics system
Author :
Wang Ze-Lai ; Rao Guo-zheng ; Feng Zhi-yong ; Wang Yao ; Zhang Chen
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Abstract :
An SOA-based emergency logistics system based on GPS / GIS is presented for that the emergency logistics system can not meet the requirement of managing public emergency frequently. The intelligent vehicle system based on GPS and monitoring platform is designed for real-time data interaction. Ontology-based emergency logistics repository, emergency logistics framework, early-warning rule base and emergency rule base are implemented in this system. Early-warning system and emergency decision-making system can use reasoning engine and optimization sub-system of routes, inventory policy and distribution to make prejudgment and decision in order to reduce casualties and property losses.
Keywords :
emergency services; ontologies (artificial intelligence); public administration; software architecture; GIS; GPS; SOA-based emergency logistics system; early-warning rule base; emergency decision-making system; emergency logistics framework; emergency rule base; intelligent vehicle system; ontology-based emergency logistics repository; public emergency oriented SOA; service oriented architecture; Global Positioning System; Logistics; Monitoring; Service oriented architecture; emergency logistics; intelligent vehicle terminal; ontology; pre-warning; public emergency; service oriented architecture;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620634