A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review

Degrossi, L. C., Porto de Albuquerque, J. , Dos Santos Rocha, R. and Zipf, A. (2017) A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review. In: 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017), Albi, France, 21-24 May 2017, pp. 532-545.

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Abstract

Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information in different application domains. Despite the advantages associated with it, this information lacks quality assurance, since it is provided by different people. Therefore, several authors have started investigating different methods to assess the quality of CGI. Some of the existing methods have been summarized in different classification scheme. However, there is not an overview of the methods employed to assess the quality of CGI in the absence of authoritative data. On the basis of a systematic literature review, we found 13 methods that can be employed to this end.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Porto de Albuquerque, Professor Joao
Authors: Degrossi, L. C., Porto de Albuquerque, J., Dos Santos Rocha, R., and Zipf, A.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
ISSN:2411-3387
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