Towards Automatic Vandalism Detection in OpenStreetMap

Neis, Pascal; Goetz, Marcus; Zipf, Alexander

doi:10.3390/ijgi1030315

Cited by 89 publications

(63 citation statements)

References 23 publications

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“…As Figure 6 demonstrates, the differences are not solely due to additions (red cells), but we also have few negative differences (green cells). This may appear to be counterintuitive; however, it becomes clear when one considers that OSM is an evolving product and as such is subject not only to extension, but also to cleanup and deletions [84]. In Figure 7, we show an example of such a negative cell, In order to spatially assess the pairwise differences between RCMRD and OSM 2014, RCMRD and Map Maker and OSM 2014 and Map Maker, we applied LISA analysis.…”

Section: A Spatial Comparison Of Road Network Coveragementioning

confidence: 99%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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Abstract:With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM) becoming increasingly popular, we are faced with the challenge of assessing the quality of their content, in order to better understand its place relative to the authoritative content of more traditional sources. Until now, studies have focused primarily on developed countries, showing that VGI content can match or even surpass the quality of authoritative sources, with very few studies in developing countries. In this paper, we compare the quality of authoritative (data from the Regional Center for Mapping of Resources for Development (RCMRD)) and non-authoritative (data from OSM and Google's Map Maker) road data in conjunction with population data in and around Nairobi, Kenya. Results show variability in coverage between all of these datasets. RCMRD provided the most complete, albeit less current, coverage when taking into account the entire study area, while OSM and Map Maker showed a degradation of coverage as one moves from central Nairobi towards rural areas. Furthermore, OSM had higher content density in large slums, surpassing the authoritative datasets at these locations, while Map Maker showed better coverage in rural housing areas. These results suggest a greater need for a more inclusive approach using VGI to supplement gaps in authoritative data in developing nations.

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Section: A Spatial Comparison Of Road Network Coveragementioning

confidence: 99%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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“…For example, Neis and Zipf [25] analyzed the contributor activity of OSM; Neis et al analyzed different cases of vandalism and developed a rule-based vandalism-detection system for OSM [26]; Zielstra et al analyzed the editing patterns in OSM [27]. Fast and Rinner [28] illustrated the pragmatic relevance of VGI using OSM as an example from systems science.…”

Section: Related Workmentioning

confidence: 99%

Dynamically Integrating OSM Data into a Borderland Database

Zhou

Zeng

et al. 2015

IJGI

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Spatial data are fundamental for borderland analyses of geography, natural resources, demography, politics, economy, and culture. As the spatial data used in borderland research usually cover the borderland regions of several neighboring countries, it is difficult for anyone research institution of government to collect them. Volunteered Geographic Information (VGI) is a highly successful method for acquiring timely and detailed global spatial data at a very low cost. Therefore, VGI is a reasonable source of borderland spatial data. OpenStreetMap (OSM) is known as the most successful VGI resource. However, OSM's data model is far different from the traditional geographic information model. Thus, the OSM data must be converted in the scientist's customized data model. Because the real world changes rapidly, the converted data must be updated incrementally. Therefore, this paper presents a method used to dynamically integrate OSM data into the borderland database. In this method, a basic transformation rule base is formed by comparing the OSM Map Feature description document and the destination model definitions. Using the basic rules, the main features can be automatically converted to the destination model. A human-computer interaction model transformation and a rule/automatic-remember mechanism are developed to interactively transfer the unusual features that cannot be transferred by the basic rules to the target model and to remember the reusable rules automatically. To keep the borderland database current, the global OsmChange daily diff file is used to extract the change-only information for the research region. To extract the changed objects in the region under study, the relationship between the changed object and the research region is analyzed considering the evolution of the OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 1708 involved objects. In addition, five rules are determined to select the objects and integrate the changed objects with multi-versions over time. The objects' change-type evolution is analyzed, and seven rules are used to determine the change-type of the changed objects. Based on these rules and algorithms, we programmed an automatic (or semi-automatic) integrating and updating prototype system for the borderland database. The developed system was intensively tested using OSM data for Vietnam and Pakistan as the experimental data.

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“…Notably, Neis et al (2012) have developed OSMPatrol, a rule-based system to detect carto-vandalism in OpenStreetMap. Starting from criteria proposed by the OpenStreetMap community, 12 the system classifies users' actions based primarily on the contributor's reputation.…”

Section: Automatic Detection Of Carto-vandalismmentioning

confidence: 99%

Defacing the Map: Cartographic Vandalism in the Digital Commons

Ballatore

2014

The Cartographic Journal

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This article addresses the emergent phenomenon of carto-vandalism, the intentional defacement of collaborative cartographic digital artefacts in the context of volunteered geographic information. Through a qualitative analysis of reported incidents in WikiMapia and OpenStreetMap, a typology of this kind of vandalism is outlined, including play, ideological, fantasy, artistic, and industrial carto-vandalism, as well as carto-spam. Two families of counter-strategies deployed in amateur mapping communities are discussed. First, the contributors organise forms of policing, based on volunteered community involvement, patrolling the maps and reporting incidents. Second, the detection of carto-vandalism can be supported by automated tools, based either on explicit rules or on machine learning.

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Towards Automatic Vandalism Detection in OpenStreetMap

Cited by 89 publications

References 23 publications

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Dynamically Integrating OSM Data into a Borderland Database

Defacing the Map: Cartographic Vandalism in the Digital Commons

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