A Systematic Study of OpenStreetMap Data Quality Assessment

Sukhjit Singh Sehra · Jaiteg Singh · Hardeep Singh

34 citations0/0 files storedInternational Conference on Information Technology: New Generations

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Geographic Information Systems Studies Mobile Crowdsensing and Crowdsourcing Automated Road and Building Extraction

Abstract

The evolution of web has changed the way of interaction with the user. Web 2.0 encouraged more contribution from the user of varying level of mapping experience and is called Crowd Sourcing. Open Street Map is also the outcome of Crowd Sourcing. It is collecting huge data with help of general public, researchers have started analysing the data rather than collecting it. The aim of this study is to review the research work for assessment of Open Street Map Data. It is concluded that the most of research work on assessment of Open Street map data has been done for countries like Germany, UK & USA. But the authenticity and accuracy of reference data still unanswered. Another issue that is concluded by this review, in context to Indian subcontinent, is the requirement of through analysis of Open Street Map data.

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References

20124 What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software 2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets 2007Gender Differences in Negative Campaigning: The Impact of Party Environments 2012Assuring the quality of volunteered geographic information 2010Quality Assessment of the French OpenStreetMap Dataset 2008Web Mapping 2.0: The Neogeography of the GeoWeb 2011The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011 2012Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap

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