Characteristics of Heavily Edited Objects in OpenStreetMap

This paper describes the results of an analysis of the OpenStreetMap (OSM) database for the United Kingdom (UK) and Ireland (correct to April 2011). 15, 640 OSM ways (polygons and polylines), resulting in 316, 949 unique versions of these objects, were extracted and analysed from the OSM database for the UK and Ireland. In our analysis we only considered “heavily edited” objects in OSM: objects which have been edited 15 or more times. Our results show that there is no strong relationship between increasing numbers of contributors to a given object and the number of tags (metadata) assigned to it. 87% of contributions/edits to these objects are performed by 11% of the total 4128 contributors. In 79% of edits additional spatial data (nodes) are added to objects. The results in this paper do not attempt to evaluate the OSM data as good/poor quality but rather informs potential consumers of OSM data that the data itself is changing over time. In developing a better understanding of the characteristics of “heavily edited” objects there may be opportunities to use historical analysis in working towards quality indicators for OSM in the future.

[1]  Patrick Jason Morrison.  Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the Web , 2007 .

[2]  Pradeep Ravikumar,et al.  Adaptive Name Matching in Information Integration , 2003, IEEE Intell. Syst..

[3]  Dick C. A. Bulterman,et al.  Is It Time for a Moratorium on Metadata? , 2004, IEEE Multim..

[4]  Carmen Brando,et al.  Quality in User Generated Spatial Content: A Matter of Specifications , 2010 .

[5]  Ricky Jacob,et al.  Using OpenStreetMap to deliver location-based environmental information in Ireland , 2009, SIGSPACIAL.

[6]  Steffen Fritz,et al.  Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover , 2009, Remote. Sens..

[7]  Oliver ROICKa,et al.  A Technical Framework for Visualizing Spatio-temporal Quality Metrics of Volunteered Geographic Information , 2012 .

[8]  M. Goetz A. Zipf,et al.  Extending OpenStreetMap to indoor environments: Bringing volunteered geographic information to the next level , 2011 .

[9]  M. Goodchild.  Commentary: whither VGI? , 2008 .

[10]  Steve Coast,et al.  How OpenStreetMap Is Changing the World , 2011, W2GIS.

[11]  Roelof van Zwol,et al.  Classifying tags using open content resources , 2009, WSDM '09.

[12]  Bongwon Suh,et al.  So you know you're getting the best possible information: a tool that increases Wikipedia credibility , 2009, CHI.

[13]  Vyron Antoniou,et al.  How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information , 2010 .

[14]  Tomi Kauppinen,et al.  Tracking Editing Processes in Volunteered Geographic Information: The Case of OpenStreetMap , 2011, COSIT 2011.

[15]  Miriam J. Metzger,et al.  The credibility of volunteered geographic information , 2008 .

[16]  Guillaume Touya,et al.  Quality Assessment of the French OpenStreetMap Dataset , 2010, Trans. GIS.

[17]  Alexander Zipf,et al.  Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany , 2010, Comput. Environ. Urban Syst..

[18]  Peter A. Gloor,et al.  Social capital increases efficiency of collaboration among Wikipedia editors , 2011, HT '11.

[19]  Michael Derntl,et al.  Inclusive social tagging and its support in Web 2.0 services , 2011, Comput. Hum. Behav..

[20]  Miriam J. Metzger,et al.  behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification , 2007 .

[21]  M. Exel,et al.  The impact of crowdsourcing on spatial data quality indicators , 2010 .

[22]  Adam C. Winstanley,et al.  Towards quality metrics for OpenStreetMap , 2010, GIS '10.

[23]  Dan Cosley,et al.  Finding social roles in Wikipedia , 2011, iConference.

[24]  P. Jason Morrison,et al.  Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web , 2008, Inf. Process. Manag..

[25]  Jan de Leeuw,et al.  An Assessment of the Accuracy of Volunteered Road Map Production in Western Kenya , 2011, Remote. Sens..

[26]  Marios Poulos,et al.  Evaluating authoritative sources using social networks: an insight from Wikipedia , 2006, Online Inf. Rev..

[27]  Michael F. Goodchild,et al.  Dynamic GIS Case Studies: Wildfire Evacuation and Volunteered Geographic Information , 2009 .

[28]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[29]  Benno Stein,et al.  Towards automatic quality assurance in Wikipedia , 2011, WWW.

[30]  Judd Antin,et al.  My kind of people?: perceptions about wikipedia contributors and their motivations , 2011, CHI.

[31]  Pascal Neis,et al.  The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011 , 2011, Future Internet.

[32]  Alexander Zipf,et al.  Towards Defining a Framework for the Automatic Derivation of 3D CityGML Models from Volunteered Geographic Information , 2012, Int. J. 3 D Inf. Model..

[33]  Liping Di,et al.  Data cleaning approaches in Web2.0 VGI application , 2009, 2009 17th International Conference on Geoinformatics.

[34]  Heng-Li Yang,et al.  Motivations of Wikipedia content contributors , 2010, Comput. Hum. Behav..

[35]  David Coleman,et al.  Volunteered Geographic Information: the nature and motivation of produsers , 2009, Int. J. Spatial Data Infrastructures Res..

[36]  Peter Mooney,et al.  Using OSM for LBS – An Analysis of Changes to Attributes of Spatial Objects , 2012 .

[37]  Michela Bertolotto,et al.  Semantically Enriching VGI in Support of Implicit Feedback Analysis , 2011, W2GIS.

[38]  John Domingue,et al.  The Future of the Internet , 1999, Academia Letters.

[39]  Darren Gergle,et al.  On the "localness" of user-generated content , 2010, CSCW '10.

[40]  A. Zipf,et al.  A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany , 2010 .

[41]  Li Yujian,et al.  A Normalized Levenshtein Distance Metric , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[42]  M. Haklay.  How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets , 2010 .

[43]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.