基于中文关键词提取的预案智能匹配方案  

Intelligent Match Measure of Emergency Plan Based on Chinese Key words Extraction

作　　者：张文鹏[1] 王兴[1] 

机构地区：[1]南阳师范学院软件学院,南阳473061

出　　处：《科学技术与工程》2012年第21期5192-5197,共6页Science Technology and Engineering

基　　金：河南省基础与前沿技术研究计划项目(112300410118);(112300410124)资助

摘　　要：针对当下在公共社会领域中突发事件应急预案结构复杂、难以为决策者进行信息筛选、整合的热点问题,设计了一种基于中文关键词提取的预案智能匹配方案。该方案从预案的框架存储方式出发,分析了中文关键词的特征值与关键词权重调节因子的训练方法,并建立矢量空间模型来实现预案间的智能匹配。实验结果表明在预案智能匹配方案中运用此种中文关键字提取算法相比于传统tf*idf算法效果更佳。The complication of emergency plan make plans hard to manage. And it also make decision maker hard to decide and integrate information. Nowadays it has become a heat issue in public security fiehl. An inlelligent match measure of emergency plan based on Chinese keywords extraction is introduced. Start with the storage of plan framework hefore keywords＇characteristic values and the method to train keywords weight regulatory factors are analyzed. Vector Space Model is established to realize intelligent match of emergency plans. Comparing with tf· idf, the experimental results show that the presented method is more promising in intelligent match method of emergency plan.

关 键 词：应急预案 中文关键词提取 智能匹配 矢量空间模型 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]