{"title":"Finding family and friends in the aftermath of a disaster using federated queries on social networks and websites","authors":"Rene Stiegler, S. Tilley, T. Parveen","doi":"10.1109/WSE.2011.6081815","DOIUrl":null,"url":null,"abstract":"In the aftermath of any major disaster, people are desperate to find information about their family and friends. The Internet has proven an invaluable tool in this quest. Search engines, social networking sites, government websites, non-governmental organizations' (NGO) websites, and citizen volunteer websites have all proven to be valuable resources. The primary problem for people searching for their family and friends is figuring out where to find information. A secondary issue is that the search mechanism must be accessible to all, including novice users more concerned with answering the simple question, “Are you OK?” and less concerned with learning how to use idiosyncratic technology (such as hashtags) facilitating the search. This paper describes a search system called Family and Friends Finder (F3) that provides a federated search against disparate data sources. The system integrates structured data coming from government and NGO websites along with unstructured data coming from social networks. A prototype system was developed for tropical cyclone Yasi with promising results.","PeriodicalId":414937,"journal":{"name":"2011 13th IEEE International Symposium on Web Systems Evolution (WSE)","volume":"653 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 13th IEEE International Symposium on Web Systems Evolution (WSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSE.2011.6081815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
In the aftermath of any major disaster, people are desperate to find information about their family and friends. The Internet has proven an invaluable tool in this quest. Search engines, social networking sites, government websites, non-governmental organizations' (NGO) websites, and citizen volunteer websites have all proven to be valuable resources. The primary problem for people searching for their family and friends is figuring out where to find information. A secondary issue is that the search mechanism must be accessible to all, including novice users more concerned with answering the simple question, “Are you OK?” and less concerned with learning how to use idiosyncratic technology (such as hashtags) facilitating the search. This paper describes a search system called Family and Friends Finder (F3) that provides a federated search against disparate data sources. The system integrates structured data coming from government and NGO websites along with unstructured data coming from social networks. A prototype system was developed for tropical cyclone Yasi with promising results.
在任何重大灾难之后,人们都不顾一切地寻找有关家人和朋友的信息。在这方面,互联网已被证明是一个无价的工具。搜索引擎、社交网站、政府网站、非政府组织网站和公民志愿者网站都被证明是有价值的资源。人们寻找家人和朋友的主要问题是找出在哪里可以找到信息。第二个问题是搜索机制必须对所有人开放,包括更关心回答“你还好吗?”这个简单问题的新手用户。而不太关心学习如何使用特殊技术(如标签)来促进搜索。本文描述了一个名为Family and Friends Finder (F3)的搜索系统,它提供了针对不同数据源的联合搜索。该系统集成了来自政府和非政府组织网站的结构化数据以及来自社交网络的非结构化数据。为热带气旋“雅西”研制了一个原型系统,并取得了令人满意的结果。