4.7 Article

Automated geographic context analysis for volunteered information

Journal

APPLIED GEOGRAPHY
Volume 43, Issue -, Pages 36-44

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apgeog.2013.05.005

Keywords

Volunteered geographic information; Social media; Spatial data infrastructures; Spatio-temporal clustering; Geographic context analysis

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Several studies show the impacts of (geo)social media and Volunteered Geographic Information (VGI) during crisis events, and have found intrinsic value for rescue teams, relief workers and humanitarian assistance coordinators, as well as the affected population. The main challenge is how emergency management and the public can capitalize on the abundance of this new source of information by reducing the volume to credible and relevant content. In this paper, we present the GeoCONAVI (Geographic CONtext Analysis for Volunteered Information) approach and a prototype system, designed to retrieve, process, analyze and evaluate social media content on forest fires, producing relevant, credible and actionable VGI usable for crisis events. The novelty of the approach lies in the enrichment of the content with additional geographic context information, and use of spatio-temporal clustering to support scoring and validation. Thus, the system is focusing on integrating authoritative data sources with VGI. Evaluation in case studies shows that the prototype system can handle large amounts of data with common-off-the-shelf hardware, produces valuable results, and is adaptable to other types of crisis events. (C) 2013 Elsevier Ltd. All rights reserved.

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