摘要
将本体论和语义计算的相关技术引入到网络群体性事件的主题发现研究中,并通过构建食品安全领域本体进行实证研究。实验结果表明,该方法能够有效地获取主题信息,有助于实现网络群体性事件的主题发现。
In the environment of network information which is incompleteness and colloquial style, the diversity and complexity of Chinese semanteme are more prominent. The existing Web information analysis method is based on key word matching and traditional statistics, its topic discovery rate can not reach the requirement of network group events＇ warning. As network information topic＇s cognitive extent is large, the current improved text cluster＇s description of semanteme is also imperfect. So this paper introduces the relative technology of ontology and semantic computation to network group events＇ topic discovery research and produces empirical research by establishing a domain ontology of food safety. The results show that the method can obtain topic information effectively and it is helpful to the topic discovery of network group events.
出处
《图书情报工作》
CSSCI
北大核心
2012年第20期47-52,27,共7页
Library and Information Service
基金
教育部人文社会科学研究项目"网络群体性事件的源信息获取与演化机制研究"(项目编号:10YJC870012)
国家自然科学基金重大研究计划培育项目"基于免疫学的非常规突发事件应急管理主动防御多智能系统"(项目编号:91024020)
中国博士后科学基金项目"基于核方法的网络非常规突发事件的智能识别与应用研究"(项目编号:2012M511293)研究成果之一
关键词
本体
语义计算
网络群体性事件
主题发现
ontology semantic computation online group events topic discovery
