Title: Crowdsourcing-based timeline description of urban emergency events using social media

Authors: Zheng Xu; Hui Zhang; Chuanping Hu; Yunhuai Liu; Junyu Xuan; Lin Mei

Addresses: The Third Research Institute of the Ministry of Public Security, Shanghai, 201142, China; Tsinghua University, Beijing, China ' Tsinghua University, Beijing, 100084, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, 201142, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, 201142, China ' Shanghai University, Shanghai, 200444, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, 201142, China

Abstract: Crowdsourcing is a newly emerging service platform and business model in the Internet. Analysis and description about urban emergency events, e.g., fires, storms and traffic jams are 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 information that is often geographic. In this paper, in order to describe the timeline of real-time urban emergency events, the new web mining task timeline description (TD) is proposed. Firstly, the related information of an urban emergency event is extracted from Weibo messages. Secondly, the valid message including the semantic or spatial information is detected in this step. Thirdly, detected valid messages are used to build the TD. Case studies on real datasets show the proposed model has good performance and high effectiveness in the analysis and description of urban emergency events.

Keywords: crowdsourcing; event description; urban emergency events; urban computing.

DOI: 10.1504/IJAHUC.2017.083481

International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.25 No.1/2, pp.41 - 51

Received: 12 May 2015
Accepted: 11 Dec 2015

Published online: 07 Apr 2017 *

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