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

Truong, Quy Thy; Touya, Guillaume; de Runz, Cyril

doi:10.4230/LIPIcs.GISCIENCE.2018.61

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Document Identifiers

DOI: 10.4230/LIPIcs.GISCIENCE.2018.61
URN: urn:nbn:de:0030-drops-93897

Author Details

Quy Thy Truong

Univ. Paris-Est, LASTIG COGIT, IGN, ENSG, F-94160 Saint-Mande, France

Guillaume Touya

Univ. Paris-Est, LASTIG COGIT, IGN, ENSG, F-94160 Saint-Mande, France

Cyril de Runz

Modeco, CReSTIC, University of Reims Champagne-Ardenne, CS 30012, Reims cedex 2, France

Cite AsGet BibTex

Quy Thy Truong, Guillaume Touya, and Cyril de Runz. Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 61:1-61:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.61

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.

Subject Classification

ACM Subject Classification

Human-centered computing → Collaborative content creation
Computing methodologies → Anomaly detection

Keywords

Vandalism
Volunteered Geographic Information
Outlier detection

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References

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