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标题：Detection and Control of Urban Emergency Events using Social Media Big Data
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作者：Vaibhav Meshram ; Vishal Tiwari ; Matesh Divekar 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：12
页码：17648
DOI：10.15680/IJIRCCE.2017.0512066
出版社：S&S Publications
摘要：Crowdsourcing is a newly developed term which refers to the process of outsourcing of activities by afirm to an online community or cloud in the form of an ‘open call’. Any member of the crowd can then complete anassigned task and be paid for their efforts.As the term implies, crowdsourcing is when an entity whether an individualor an organization requests specific resources from a group of people (the crowd). Businesses, individuals andorganizations of all kinds have used this process to solicit ideas and raise money as well as consolidate and promoteinformation.Nowadays, no countries, no communities, and no person are immune to urban emergency events. Detectionabout urban emergency events, e.g., fires, storms, traffic jams is of great importance to protect the security of humans.Recently, social media feeds are rapidly emerging as a novel platform for providing and dissemination of informationthat is often geographic. The content from social media usually includes references to urban emergency eventsoccurring at, or affecting specific locations. In this paper, in order to detect and describe the real time urban emergencyevent, the 5W (What, Where, When, Who, and Why) model is proposed.
关键词：Crowdsourcing; emergency events; social media; big data; urban computing