Abstract
Abstract. Despite Volunteered Geographic Information (VGI) activities are now extremely helpful in a number of scientific applications, researchers and decision makers oppose some resistance to the usage of volunteered contributions, due to quality issues. Several methods and workflows have been proposed to face quality issues in different VGI projects, usually built ad-hoc for specific datasets, thus resulting neither extensible nor transferable. In order to overcome this weakness, the authors propose to perform an user-driven assessment on VGI items in order to filter only those that satisfy minimally acceptable quality levels defined according to their specific quality requirements and project goals. In the present work the users, i.e., information consumers, are seen as decision makers and are allowed to set the minimum acceptable quality levels Thus the approach proposes a user driven assessment of the fitness for use of VGI items. The paper first briefly presents a view on VGI components and suitable quality indices, then it describes a logic architecture for managing them and for enabling a querying mechanism to the datasets. The approach is finally exemplified with a case study simulation.
Highlights
Volunteered Geographic lnformation (VGI) (Goodchild, 2007) is becoming more and more popular, with the diffusion of smart mobile devices and geo-applications installed on them (Heipke, 2010)
In this newly simplified approach the user expresses a possibly tolerant selection condition on a quality indicator of a component of the VGI item, by stating the minimum acceptance level for the specific quality indicator; this is sufficient to gain an appropriate quality of the correspondent VGI item
In this work we proposed a user-driven approach to assess the quality in VGI items and to select those that meet the user requirements
Summary
Volunteered Geographic lnformation (VGI) (Goodchild, 2007) is becoming more and more popular, with the diffusion of smart mobile devices and geo-applications installed on them (Heipke, 2010). Other approaches exploit specific properties of VGI that relate to the characteristics of the volunteers, regarded as information sources, like the number of the contributors , their frequency of updating, their motivation and credibility in creating information (Haklay, 2010; Domnez, 2009; Flanagin and Metzger, 2008), which are not covered by the ISO standard internal and external quality Most of these methods are usually designed and customized for single datasets, applying specific assessment criteria of the quality for a given purpose, and are often neither extensible nor transferable (examples in Jackson et al, 2013; Keßler et al, 2013; Spinsanti and Ostermann, 2013).
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