福州大学学报（自然科学版）2017，Vol.45Issue(1)：127-132,6.DOI:10.7631/issn.1000-2243.2017.01.0127
基于Web新闻的案(事)件时空信息解析方法
Interpretation of spatio-temporal information of crime cases based on Chinese Web news
摘要
Abstract
An approach which based on the combination with lexicon and rules to parse spatiotemporal information of crime cases from the web news was investigated.Designed time word lexicon,time expression rules,police station lexicon,toponymy lexicon and "trigger-crime type" binary classification to extract the information of time,address,police station and crime event type from the web news.Through the design of standardized rules,achieved the structured data of the spatiotemporal and attribute information of the crime cases.It took Fuzhou City as an example,based on the two sets of the data of theft event from four main districts of Fuzhou City from January 2014 to March 2015,one is from the Public Security Department of Fuzhou,the other is the extraction result by this paper.Using the kernel density estimation method to study the crime hotspots,the result are basically the same:Fuzhou theft crime agglomeration occurred in Chating,East Street and Yingzhou Police District.关键词
时空信息/信息抽取/案(事)件/核密度估计/Web新闻Key words
spatio-temporal information/information extraction/crime cases/kernel density estimation/Web news分类
天文与地球科学引用本文复制引用
吴镇城,吴升,卢毅敏..基于Web新闻的案(事)件时空信息解析方法[J].福州大学学报（自然科学版）,2017,45(1):127-132,6.基金项目
国家“863”计划重大项目课题(2012AA12A208) （2012AA12A208）
福建省科技创新平台建设项目(2015H2001) （2015H2001）
海西政务大数据应用协同创新中心 （）
