CrimeStand: spatial tracking of criminal activity

Faizan Wajid, H. Samet
{"title":"CrimeStand: spatial tracking of criminal activity","authors":"Faizan Wajid, H. Samet","doi":"10.1145/2996913.2997006","DOIUrl":null,"url":null,"abstract":"Pursuing criminal activity is tied with understanding illegal or unlawful actions taken on opportunity within a geographic location. Mapping such activities can aid significantly in determining the health of a region, and the vicissitudes of civilian life. Methods to track crime and criminal activity after the fact by mapping news reports of it to geographic locations using the NewsStand system are discussed. NewsStand provides a map-query interface to monitor over 10,000 RSS news sources and making them available within minutes after publication. NewsStand was designed to collect event data given keywords centered on locations specified textually and mapping these locations to their spatial representation, a procedure called geotagging. The goal is to demonstrate how to detect and classify criminal activity by geotagging keywords pertaining to crime, and, in effect, to enhance the capabilities of NewsStand to explicitly show this category of news. The resulting system is named \"CrimeStand\".","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2996913.2997006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Pursuing criminal activity is tied with understanding illegal or unlawful actions taken on opportunity within a geographic location. Mapping such activities can aid significantly in determining the health of a region, and the vicissitudes of civilian life. Methods to track crime and criminal activity after the fact by mapping news reports of it to geographic locations using the NewsStand system are discussed. NewsStand provides a map-query interface to monitor over 10,000 RSS news sources and making them available within minutes after publication. NewsStand was designed to collect event data given keywords centered on locations specified textually and mapping these locations to their spatial representation, a procedure called geotagging. The goal is to demonstrate how to detect and classify criminal activity by geotagging keywords pertaining to crime, and, in effect, to enhance the capabilities of NewsStand to explicitly show this category of news. The resulting system is named "CrimeStand".
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
犯罪站:犯罪活动的空间跟踪
追查犯罪活动与了解在一个地理位置内偶然发生的非法或非法行为有关。绘制这类活动的地图可以大大有助于确定一个区域的健康状况和平民生活的变迁。讨论了利用报摊系统将新闻报道映射到地理位置来跟踪犯罪和犯罪活动的方法。NewsStand提供了一个地图查询接口,可以监控超过10,000个RSS新闻源,并在发布后几分钟内使它们可用。NewsStand的设计目的是收集以文本指定位置为中心的关键字的事件数据,并将这些位置映射到它们的空间表示,这一过程称为地理标记。我们的目标是演示如何通过对与犯罪相关的关键字进行地理标记来检测和分类犯罪活动,实际上是增强NewsStand明确显示这类新闻的能力。由此产生的系统被命名为“CrimeStand”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Location corroborations by mobile devices without traces Knowledge-based trajectory completion from sparse GPS samples Particle filter for real-time human mobility prediction following unprecedented disaster Pyspatiotemporalgeom: a python library for spatiotemporal types and operations Fast transportation network traversal with hyperedges: (industrial paper)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1