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ISPRS Int. J. Geo-Inf. 2016, 5(12), 234; doi:10.3390/ijgi5120234

“Contextualized VGI” Creation and Management to Cope with Uncertainty and Imprecision

Consiglio Nazionale delle Ricerche—Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR—IREA), 20133 Milan, Italy
Consiglio Nazionale delle Ricerche—Istituto per la Dinamica dei Processi Ambientali (CNR—IDPA), 20126 Milan, Italy
Institut National de la Recherche Agronomique (INRA) UMR 951 Innovation, 2 Place Pierre Viala, 34060 Montpellier CEDEX 2, France
Author to whom correspondence should be addressed.
Academic Editors: Alexander Zipf, David Jonietz, Vyron Antoniou, Linda See and Wolfgang Kainz
Received: 24 October 2016 / Revised: 18 November 2016 / Accepted: 5 December 2016 / Published: 8 December 2016
(This article belongs to the Special Issue Volunteered Geographic Information)
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This paper investigates the causes of imprecision of the observations and uncertainty of the authors who create Volunteer Geographic Information (VGI), i.e., georeferenced contents generated by volunteers when participating in some citizen science project. Specifically, various aspects of imprecision and uncertainty of VGI are outlined and, to cope with them, a knowledge-based approach is suggested based on the creation and management of “contextualized VGI”. A case study example in agriculture is reported where contextualized VGI can be created about in situ crops observations by the use of a smart app that supports volunteers by means of both an ontology and the representation of the context of the geo-localization. Furthermore, an approach to cope with both ill-defined knowledge and volunteer’s uncertainty or imprecise observations is defined based on a fuzzy ontology with uncertainty level-based approximate reasoning. By representing uncertainty and imprecision of VGI, users, i.e., consumers, can exploit quality checking mechanisms to filter VGI based on their needs. View Full-Text
Keywords: contextualized Volunteered Geographic Information (VGI); smart app; uncertainty; Imprecision; fuzzy ontology; level-based approximate reasoning contextualized Volunteered Geographic Information (VGI); smart app; uncertainty; Imprecision; fuzzy ontology; level-based approximate reasoning

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bordogna, G.; Frigerio, L.; Kliment, T.; Brivio, P.A.; Hossard, L.; Manfron, G.; Sterlacchini, S. “Contextualized VGI” Creation and Management to Cope with Uncertainty and Imprecision. ISPRS Int. J. Geo-Inf. 2016, 5, 234.

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