License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.61
URN: urn:nbn:de:0030-drops-93897
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9389/
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Truong, Quy Thy ; Touya, Guillaume ; de Runz, Cyril

Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach (Short Paper)

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Abstract

Vandalism is a phenomenon that has affected by now the digital domain, in particular in the context of Volunteered Geographic Information projects. This paper aims at proposing a methodology to detect vandalism in the OpenStreetMap project. First, an analysis of related works sheds light on the lack of consensus when it comes to defining vandalism in VGI from both conceptual and practical points of view. Second, we present experiments on the use of clustering-based outlier detection methods to identify vandalism in OSM. The outcome of this study focuses on choosing the right variables when it comes to detecting vandalism in OSM.

BibTeX - Entry

@InProceedings{truong_et_al:LIPIcs:2018:9389,
  author =	{Quy Thy Truong and Guillaume Touya and Cyril de Runz},
  title =	{{Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{61:1--61:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9389},
  URN =		{urn:nbn:de:0030-drops-93897},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.61},
  annote =	{Keywords: Vandalism, Volunteered Geographic Information, Outlier detection}
}

Keywords: Vandalism, Volunteered Geographic Information, Outlier detection
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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