Journal article
Automatic analysis of positional plausibility for points of interest in OpenStreetMap using coexistence patterns
A Kashian, A Rajabifard, KF Richter, Y Chen
International Journal of Geographical Information Science | TAYLOR & FRANCIS LTD | Published : 2019
Abstract
In the past decade, Volunteered Geographic Information (VGI) has emerged as a new source of geographic information, making it a cheap and universal competitor to existing authoritative data sources. The growing popularity of VGI platforms, such as OpenStreetMap (OSM), would trigger malicious activities such as vandalism or spam. Similarly, wrong entries by unexperienced contributors adds to the complexities and directly impact the reliability of such databases. While there are some existing methods and tools for monitoring OSM data quality, there is still a lack of advanced mechanisms for automatic validation. This paper presents a new recommender tool which evaluates the positional plausibi..
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Funding Acknowledgements
We would like to thank the Centre of Disaster Management and Public Safety (CDMPS) at the University of Melbourne for supporting this research.