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Record |
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Author |
Lívia Castro Degrossi; João Porto de Albuquerque; Roberto dos Santos Rocha; Alexander Zipf |
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Title |
A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review |
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Conference Article |
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Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
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Volume |
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Issue |
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Pages |
532-545 |
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Keywords |
Volunteered Geographic Information; VGI; Crowdsourced Geographic Information; Quality Assessment; Systematic Literature Review |
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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. |
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Address |
Department of Computer Systems University of São Paulo, São Carlos, Brazil; Centre for Interdisciplinary Methodologies University of Warwick, Coventry, UK; GIScience Research Group, Heidelberg University, Germany |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
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Track |
Social Media Studies |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
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Approved |
no |
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Call Number |
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Serial |
2041 |
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