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2018
- handle: 10670/1.evxj8g
- hal: hal-01856185
- doi: 10.4230/LIPIcs.GIScience.2018.61
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info:eu-repo/semantics/altIdentifier/doi/10.4230/LIPIcs.GIScience.2018.61
info:eu-repo/semantics/OpenAccess
Mots-clés
Outlier detection VGI 2012 ACM Subject Classification Human-centered computing → Collaborative content creation Computing methodologies → Anomaly detection Vandalism Volunteered Geographic InformationSujets proches
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Quy Thy Truong et al., « Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach », HAL-SHS : géographie, ID : 10.4230/LIPIcs.GIScience.2018.61
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Résumé
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.