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Quality Assessment of the French OpenStreetMap Dataset
The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users....
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Published in: | Transactions in GIS 2010-08, Vol.14 (4), p.435-459 |
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container_title | Transactions in GIS |
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creator | Girres, Jean-François Touya, Guillaume |
description | The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users. Spatial data quality becomes a key consideration in this context of freely downloadable geographic databases. This article studies the quality of French OpenStreetMap data. It extends the work of Haklay to France, provides a larger set of spatial data quality element assessments (i.e. geometric, attribute, semantic and temporal accuracy, logical consistency, completeness, lineage, and usage), and uses different methods of quality control. The outcome of the study raises questions such as the heterogeneity of processes, scales of production, and the compliance to standardized and accepted specifications. In order to improve data quality, a balance has to be struck between the contributors' freedom and their respect of specifications. The development of appropriate solutions to provide this balance is an important research issue in the domain of user‐generated content. |
doi_str_mv | 10.1111/j.1467-9671.2010.01203.x |
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subjects | Analysis Computer Science Consistency Geographic information systems Heterogeneity Internet Mathematical analysis Open systems Quality control Satellite navigation systems Semantics Spatial data Specifications Studies User generated content |
title | Quality Assessment of the French OpenStreetMap Dataset |
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