网络舆情监控中的知识匹配研究  

Research on Knowledge Matching in Monitoring Online Public Opinion

作　　者：郭韧[1] 李娜[1] 

机构地区：[1]华侨大学工商管理学院,福建泉州362021

出　　处：《情报理论与实践》2015年第9期110-113,共4页Information Studies:Theory & Application

基　　金：国家自然科学基金项目"基于知识网格面向网络舆情的政府决策知识供需匹配研究"的成果;项目编号:71271056

摘　　要：对网络舆情进行有效管理是政府执政能力的体现。通过对网络舆情及其监控模式的分析,得出网络舆情监控中的知识需求,分析网络舆情监控中的知识来源,根据舆情特点和范畴化的思想提出舆情监控知识片段模式,并运用最大公约数子范畴知识匹配算法,计算网页中知识片段库与政府知识片段库的匹配值,解决舆情监控中知识匹配问题,并提出基于知识匹配的舆情监控策略。Effective management of online public opinion reflects the governing capacity of government. Through the analysis of online public opinion and its monitoring mode, this paper obtains knowledge needs in monitoring online public opinion and analy- zes the knowledge sources in monitoring online public opinion. According to the public opinion features and categorization, the pa- per proposes knowledge fragment mode of monitoring public opinion, and uses the greatest common divisor subeategories knowledge matching algorithm to calculate the matching value of web page knowledge fragments and government knowledge fragments, solve the problem of knowledge matching in monitoring public opinion as well as propose monitoring public opinion strategy based on knowl- edge matching.

关 键 词：网络舆情 舆情监控 知识片段 范畴化 知识匹配 

分 类 号：G206[文化科学—传播学]