Title :
Semantic Web-Based Seismic Disaster Management Expert System
Author :
Wu Yun ; Li Chan
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Abstract :
The characteristics of disaster management is different in different disaster relief on disaster relief information, knowledge, standardization of operating procedures and the feasibility of the rescue program. Knowledge-sharing and case retrieval is to develop case-based intelligent decision support system facing the most important issue. Disaster rescue command for decision-making, the use of Web ontology language that state the information and knowledge of characteristics of the earthquake disaster rescue, a case-based reasoning and logic to describe the rescue planning business processes. For example, in earthquake rescue, the information of the earthquake status and its methods of rescue information are reasoning and described. In accordance with the use of semantic knowledge of the field of description logic inference engine for the state and characteristics of the earthquake information classification, system can choose a reasonable way to rescue and improve the practicality of the case of rescue planning.
Keywords :
case-based reasoning; decision support systems; disasters; earthquakes; emergency services; expert systems; ontologies (artificial intelligence); semantic Web; Web ontology language; case retrieval; case-based intelligent decision support system; case-based reasoning; description logic inference engine; disaster relief information; disaster rescue command; earthquake information classification; earthquake rescue; knowledge-sharing; rescue planning business process; seismic disaster management expert system; semantic Web; Decision making; Decision support systems; Disaster management; Earthquakes; Expert systems; Intelligent systems; Logic; OWL; Process planning; Standardization;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365171