An Approach of Information Processing for CBR in Emergency Management Engineering

Abstract

Emergency management engineering provides the logical and systematic process for reacting to the incidents and determining the treatment opinions. Presently many researches dedicated to the application of case based reasoning (CBR) in emergency engineering. However, usually the ideal cases in emergency domain are not available and hard to obtain. The distance between raw information and cases lies in the middle of information processing and CBR application, making it difficult to design practical CBR systems. Alternatively, this paper proposed an approach of generating imperfect cases from raw information with information evaluation and ranking. First, the derivation of information was assessed. Moreover, to implement that strategy, the technique of natural language process is employed. The gathered information was labeled with keywords, and the keywords gained the weight according to the word frequency and the ontology. Finally, the case was represented by a set keywords with their weights. For many emergency domains, this strategy partly solved the above problem of insufficient cases, and supported the decision making to some extent.