基于最大公约子范畴的应急决策知识匹配研究

Emergency decision-making knowledge matching based on greatest common subcategory

在范畴化知识结构的基础上,提出一种基于最大公约子范畴的知识匹配方法,其解决的主要问题就是通过对决策者的需求和背景知识的匹配,有效量化决策知识的语义处理,提高决策背景知识的萃取效率.实验结果表明,该方法能够同时提高知识匹配过程中的精度和召回率.

Based upon the categorical knowledge structures, a knowledge matching method for supporting decision making based on greatest common subcategory is presented. This method focus on matching the requirements of decision makers to background knowledge, quantizing the semantic processing of decision-making knowledge, and raising the efficiency of decision-making knowledge acquisition. Experimental results show that the method can improve the precision and recall in knowledge matching simultaneonsly.