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Exploring the geographical context for quality assessment of VGI in flood management domain

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Degrossi, L. C., Albuquerque, João Porto de , Restrepo-Estrada, Camilo, Mobasheri, A. and Zipf, A. (2017) Exploring the geographical context for quality assessment of VGI in flood management domain. In: AMCIS 2017 : A Tradition of Innovation, Boston, MA, USA, 10-12 Aug 2017. Published in: Proceedings of the Americas Conference on Information Systems (AMCIS 2017) pp. 1-10. ISBN 9780996683142.

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Official URL: http://aisel.aisnet.org/amcis2017/DataScience/Pres...

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Abstract

Volunteered Geographic Information (VGI) has been used to complement or substitute authoritative data in flood management domain. The main issue regarding the use of volunteered information is to estimate its quality, mainly because it may suffer from heterogeneous quality. Therefore, several methods have been developed in the past few years in order to assess VGI quality. However, existing works lack in assessing VGI quality for the purpose of flood management. To overcome this gap, we propose a method for assessing the quality of VGI for this purpose. This method uses a set of quality metrics that were developed for measuring VGI plausibility. A multiple linear regression was carried out in order to demonstrate the relationship between VGI plausibility and the quality metrics. The results showed that plausibility can be explained by 5 quality metrics. Thus, the proposed method is able to estimate the plausibility of VGI in flood management domain.

Item Type: Conference Item (Paper)
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TC Hydraulic engineering. Ocean engineering
Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH): Flood control, Geographic information systems, Human computation, Data mining, User-generated content
Journal or Publication Title: Proceedings of the Americas Conference on Information Systems (AMCIS 2017)
Publisher: AMCIS
ISBN: 9780996683142
Official Date: 10 August 2017
Dates:
DateEvent
10 August 2017Published
17 April 2017Accepted
Page Range: pp. 1-10
Status: Peer Reviewed
Publication Status: Published
Date of first compliant deposit: 9 October 2017
Date of first compliant Open Access: 12 October 2017
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
88887.091744/2014-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorhttp://dx.doi.org/10.13039/501100002322
201626/2015-2Conselho Nacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
Initiative II/Action 7University of Heidelberghttp://dx.doi.org/10.13039/501100001661
Conference Paper Type: Paper
Title of Event: AMCIS 2017 : A Tradition of Innovation
Type of Event: Conference
Location of Event: Boston, MA, USA
Date(s) of Event: 10-12 Aug 2017
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