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Trust as a Proxy Measure for the Quality of Volunteered Geographic Information i...

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source link: https://link.springer.com/chapter/10.1007%2F978-3-319-00615-4_2
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Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap

  • Carsten Keßler
  • René Theodore Anton de Groot
  • Carsten KeßlerEmail author
  • René Theodore Anton de Groot
  1. 1.Institute for GeoinformaticsUniversity of MünsterMünsterGermany
Chapter
First Online: 12 May 2013
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

High availability and diversity make Volunteered Geographic Information (VGI) an interesting source of information for an increasing number of use cases. Varying quality, however, is a concern often raised when it comes to using VGI in professional applications. Recent research directs towards the estimation of VGI quality through the notion of trust as a proxy measure. In this chapter, we investigate which indicators influence trust, focusing on inherent properties that do not require any comparison with a ground truth dataset. The indicators are tested on a sample dataset extracted from OpenStreetMap. High numbers of contributors, versions and confirmations are considered as positive indicators, while corrections and revisions are treated as indicators that have a negative influence on the development of feature trustworthiness. In order to evaluate the trust measure, its results have been compared to the results of a quality measure obtained from a field survey. The quality measure is based on thematic accuracy, topological consistency, and information completeness. To address information completeness as a criterion of data quality, the importance of individual tags for a given feature type was determined based on a method adopted from information retrieval. The results of the comparison between trust assessments and quality measure show significant support for the hypothesis that feature-level VGI data quality can be assessed using a trust model based on data provenance.

Keywords

Data Quality Ground Truth Data Volunteer Geographic Information Trust Assessment Data Consumer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Artz D, Gil Y (2007) A survey of trust in computer science and the semantic web. Web Semant 5:58–71CrossRefGoogle Scholar
  2. Bishr M, Janowicz K (2010) Can we trust information?—The case of volunteered geographic information. In Devaraju A, Llaves A, Maué P, Keßler C (eds) Towards digital earth: search, discover and share geospatial data 2010. Workshop at future internet symposium, Sep 2010Google Scholar
  3. Bishr M, Kuhn W (2007) Geospatial information bottom-up: a matter of trust and semantics. In Fabrikant SI, Wachowicz M (eds) The European information society—leading the way with geo-information. Lecture Notes in Geoinformation and Cartography. Springer, Berlin Heidelberg, pp 365–387Google Scholar
  4. Bishr M, Mantelas L (2008) A trust and reputation model for filtering and classifying knowledge about urban growth. GeoJournal 72(3–4):229–237CrossRefGoogle Scholar
  5. Flanagin AJ, Metzger MJ (2008) The credibility of volunteered geographic information. GeoJournal 72(3):137–148CrossRefGoogle Scholar
  6. Golbeck JA (2005) Computing and applying trust in web-based social networks. Ph.D. thesis, University of Maryland. Available from http://drum.lib.umd.edu/bitstream/1903/2384/1/umi-umd-2244.pdf
  7. Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221CrossRefGoogle Scholar
  8. Haklay M (2010) How good is volunteered geographical information? a comparative study of OpenStreetMap and ordnance survey datasets. Environ Plann B, Plann Des 37(4):682–703CrossRefGoogle Scholar
  9. Haklay M, Basiouka S, Antoniou V, Ather A (2010) How many volunteers does it take to map an area well? The validity of Linus’ law to volunteered geographic information. Cartographic J 47(4):315–322CrossRefGoogle Scholar
  10. Helbich M, Amelunxen C, Neis P, Zipf A (2010) Investigations on locational accuracy of volunteered geographic information using OpenStreetMap data. GIScience 2010 Workshop on the role of volunteered geographic information in advancing science. Zurich, Switzerland. Available from http://ornl.org/sci/gist/workshops/2010/papers/Helbich.pdf
  11. International Organization for Standardization (2002) ISO Standard 19113:2002: Geographic information—quality principlesGoogle Scholar
  12. Jakobsson A, Giversen J (2009) Guidelines for implementing the ISO 19100 geographic information quality standards in national mapping and cadastral agencies. EuroGraphics 2009Google Scholar
  13. Kendall M (1938) A new measure of rank correlation. Biometrika 30(1–2):81–89Google Scholar
  14. Keßler C, Trame J, Kauppinen T (2011a) Provenance and trust in volunteered geographic information: the case of OpenStreetMap. Poster presentation, conference on spatial information theory, 12–16 Sep 2011, Belfast, Maine, USAGoogle Scholar
  15. Keßler C, Trame J, Kauppinen T (2011b) Tracking editing processes in volunteered geographic information: the case of OpenStreetMap. In Duckham M, Galton A, Worboys M (eds) Identifying objects, processes and events in spatio-temporally distributed data (IOPE), workshop at conference on spatial information theory 2011 (COSIT’11), 12 Sep 2011, Belfast, Maine, USAGoogle Scholar
  16. Koukoletsos T, Haklay M, Ellul C (2012) Assessing data completeness of VGI through an automated matching procedure for linear data. Trans GIS 16(4):477–498CrossRefGoogle Scholar
  17. Mezzetti N (2004) A socially inspired reputation model. In: Proceedings of 1st European PKI Workshop. Lecture Notes in Computer Science, vol 3093. Springer, pp 191–204Google Scholar
  18. Mooney P, Corcoran P (2012a) Who are the contributors to OpenStreetMap and what do they do?. In: Proceedings of 20th annual GIS research UK (GISRUK), Lancaster University, Apr 2012Google Scholar
  19. Mooney P, Corcoran P (2012b) Characteristics of heavily edited objects in OpenStreetMap. Future Internet 4(1):285–305CrossRefGoogle Scholar
  20. Mooney P, Corcoran P (2012c) The annotation process in OpenStreetMap. Trans GIS 16(4):561–579CrossRefGoogle Scholar
  21. Neis P, Zielstra D, Zipf A (2012) The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–2011. Future Internet 4(1):1–21Google Scholar
  22. Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18(11):613–620CrossRefGoogle Scholar
  23. Simmhan YL, Plale B, Gannon D (2005) A survey of data provenance in e-science. ACM Sigmod Rec 34(3):31–36CrossRefGoogle Scholar
  24. Sztompka P (1999) Trust: a sociological theory. Cambridge University Press, CambridgeGoogle Scholar
  25. van Exel M, Dias E, Fruijtier S (2010) The impact of crowdsourcing on spatial data quality indicators. GIScience 2010 workshop on the role of volunteered geographic information in advancing science. Zurich, Switzerland. Available from http://www.giscience2010.org/pdfs/paper_213.pdf
  26. Zielstra D, Zipf A (2010) A comparative study of proprietary geodata and volunteered geographic information for Germany. AGILE 2010. In: The 13th AGILE international conference on geographic information science. Guimarães, PortugalGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

About this chapter

Cite this chapter as: Keßler C., de Groot R.T.A. (2013) Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap. In: Vandenbroucke D., Bucher B., Crompvoets J. (eds) Geographic Information Science at the Heart of Europe. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00615-4_2

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