Getting User-Generated Content Structured: Overcoming Information Overload in Emergency Management

Axel Schulz, J. Ortmann, F. Probst
{"title":"Getting User-Generated Content Structured: Overcoming Information Overload in Emergency Management","authors":"Axel Schulz, J. Ortmann, F. Probst","doi":"10.1109/GHTC.2012.31","DOIUrl":null,"url":null,"abstract":"The amount of real-time user-generated content about disasters and large scale incidents has increased drastically. However, this valuable information source is hardly used by relief organizations for improving emergency response. Currently, relief organizations have little support in filtering and aggregating the overwhelming flood of information. We provide a solution for structuring and merging user-generated content in disaster management, which allows identifying individual incidents in an incoming stream of incident reports. Reports on the same incident are merged using rules that exploit the spatial, temporal and thematic information that is provided in the report. This results in a condensed and easy to consume description of the incident. The thematic aspect is formalized via vocabularies and influences the spatial and temporal extension of the incident representation in our system. The solution is implemented as a client server application, with a mobile application for sending incident reports and a client application to process and store incidents.","PeriodicalId":265555,"journal":{"name":"2012 IEEE Global Humanitarian Technology Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Global Humanitarian Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GHTC.2012.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

The amount of real-time user-generated content about disasters and large scale incidents has increased drastically. However, this valuable information source is hardly used by relief organizations for improving emergency response. Currently, relief organizations have little support in filtering and aggregating the overwhelming flood of information. We provide a solution for structuring and merging user-generated content in disaster management, which allows identifying individual incidents in an incoming stream of incident reports. Reports on the same incident are merged using rules that exploit the spatial, temporal and thematic information that is provided in the report. This results in a condensed and easy to consume description of the incident. The thematic aspect is formalized via vocabularies and influences the spatial and temporal extension of the incident representation in our system. The solution is implemented as a client server application, with a mobile application for sending incident reports and a client application to process and store incidents.
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
结构化用户生成内容:克服应急管理中的信息过载
有关灾难和大规模事件的实时用户生成内容的数量急剧增加。但是,救济组织很少利用这一宝贵的信息来源来改进应急反应。目前,救援组织在过滤和汇总铺天盖地的信息方面几乎没有什么支持。我们提供了一种在灾难管理中构建和合并用户生成内容的解决方案,它允许在传入的事件报告流中识别单个事件。使用利用报告中提供的空间、时间和专题信息的规则合并同一事件的报告。这就形成了对事件的简明扼要的描述。主题方面通过词汇形式化,并影响我们系统中事件表征的空间和时间延伸。该解决方案是作为客户机服务器应用程序实现的,其中有一个用于发送事件报告的移动应用程序和一个用于处理和存储事件的客户机应用程序。
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
Socio-economic Development of Extremely Poor Communities in Kapgari Area - Some Experiments and Field Results Productivity Measurement Issues in Education Sector of Pakistan Towards an IEEE Strategy in Social Innovation Software for Tracking Vulnerable Children Designing a Spatially Intelligent Framework to Improve Public Participation in the EIA Process for Renewable Energy and Power Transmission Projects
×
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