Much effort is being made to ensure the safety of people. One of the main requirements of travellers and city administrators is to have knowledge of places that are more prone to criminal activities. To rate a place as a potential crime location, it needs the past crime history at that location. Such data is not easily available in the public domain, however, it floats around on the Internet in the form of newspaper and social media posts, in an unstructured manner though. Consequently, a large number of works are reported on extracting crime information from news articles, providing piecemeal solutions to the problem. This chapter complements these works by building an end-to-end framework for crime profiling of any given location/area. It customizes individual components of the framework and provides a Spatio-temporal integration of crime information. It develops an automated framework that crawls online news articles, analyzes them, and extracts relevant information to create a crime knowledge base that gets dynamically updated in real-time. The crime density can be easily visualized in the form of a heat map which is generated by the knowledge base. As a case study, it investigates 345448 news articles published by 6 daily English newspapers collected for approximately two years. Experimental results show that the crime profiling matches with the ratings calculated manually by various organizations.
翻译:正在作出很大努力确保人们的安全。旅行者和城市管理人员的主要要求之一是了解更易发生犯罪活动的地点;将一个地方定为潜在的犯罪地点,需要该地点的犯罪历史;这些数据在公共领域不容易获得,然而,这些数据在互联网上以报纸和社交媒体站的形式以非结构化的方式以非结构化的方式流通;因此,报告了大量从新闻文章中提取犯罪信息的工作,为问题提供零碎的解决办法;本章通过建立关于任何特定地点/地区的犯罪特征分析的端到端框架来补充这些工作;它定制框架的各个组成部分,并提供犯罪信息的斯帕蒂奥-时空整合;它开发一个自动框架,以在线新闻文章、分析这些文章并提取相关信息,以创建一个犯罪知识库动态更新的犯罪知识库;犯罪密度可以通过知识库生成的热图的形式很容易地呈现出来;作为案例研究,它调查了框架的各个组成部分的每个端到端点/地区的犯罪特征分析框架,并提供犯罪信息的Spatio-时间整合;它开发了一个自动框架,以在线新闻文章、分析、提取和提取相关信息,以创建犯罪知识库所生成的动态更新的目录中大约两年的6年的英国报纸所统计的图像。