文献类型：期刊文献

中文题名：基于事件抽取的竞争情报系统

英文题名：Competitive Intelligence System Based on Event Extraction

作者：李楠[1];吉久明[1];孙济庆[1];郑荣廷[2]

机构：[1]华东理工大学图书馆,上海200237;[2]中国工商银行数据中心(北京)平台研发部,北京100096

年份：2014

卷号：37

期号：5

起止页码：77

中文期刊名：情报理论与实践

外文期刊名：Information Studies:Theory & Application

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2011】；CSSCI:【CSSCI2014_2016】；

语种：中文

中文关键词：情报分析;事件抽取;竞争情报系统

外文关键词：intelligence analysis ; event extraction; competitive intelligence system

摘要：文章提出一种基于事件抽取的情报系统设计方案,可以从海量信息中自动获取并组织情报内容。该方法将情报分析从传统的自动分类、主题导航等基本功能深入到更细粒度的内容挖掘与呈现层面,围绕情报事件的构成元素自动获取较为精确的情报信息,并提供结构化的事件呈现,方便情报内容的快速浏览。
This paper presents a design scheme of intelligence system based on event extraction, which can automatically ob- tain and organize effective intelligence content from massive information. In this method, the traditional functions of intelligence a- nalysis, such as automatic classification and subject navigation, will deep into more fine-grained content mining and present level, which automatically extract more accurate intelligence information from the constituent elements of intelligence events, and provide structured presentation of events in order to quickly browse the intelligence content.