基于融媒体的防震减灾知识挖掘技术与应用  

Knowledge Mining Technology for Earthquake Prevention and Disaster Reduction Based on Media Convergence and Its Application

作　　者：蔡宗文 郑黎辉[2] 廖丽霞[2] 危福泉[2] 黄晓华 杨婕 CAI Zongwen;ZHENG Lihui;LIAO Lixia;WEI Fuquan;HUANG Xiaohua;YANG Jie(Fujian Provincial Marine Earthquake Observation Center,Xiamen 361009,China;Fujian Earthquake Agency,Fuzhou 350003,China)

机构地区：[1]福建省海洋地震观测中心,福建厦门361009 [2]福建省地震局,福州350003

出　　处：《华南地震》2023年第3期1-6,共6页South China Journal of Seismology

基　　金：国家重点研发计划课题《大用户量地震科普与行为指导新媒体平台研发》(2019YFC1509404)资助。

摘　　要：通过基于大数据融媒体的防震减灾知识挖掘技术方法研究,采用词典技术、基于主题模型的智能分词技术,对所挖掘或已有文章的标题和内容按主题模型进行分词检索和深度分析,对相应防震减灾知识条目进行分类识别、入库,从而构建可自我增长的防震减灾知识资源库。利用地震科普和行为指导服务新媒体系统所建立起来的用户流,实现科普信息即时获取、精准推送,提高防震减灾科普传播效率。Through the research on the technology and method of knowledge mining for earthquake prevention and disaster reduction based on big data convergence media,using the dictionary technology and intelligent word segmentation technology based on the topic model,the title and content of the mined or existing articles are subjected to word segmentation retrieval and in-depth analysis,and the corresponding knowledge entries of earthquake prevention and disaster reduction are classified,identified and stored,so as to build a self-growing knowledge resource database of earthquake prevention and disaster reduction.By using the user flow established by the new media system of earthquake science popularization and behavior guidance service,the instant acquisition and accurate push of science popularization information are realized,and the efficiency of science popularization for earthquake prevention and disaster reduction is improved.

关 键 词：防震减灾 知识挖掘 主题模型 

分 类 号：P315.9[天文地球—地震学]