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Using OSM for LBS – An Analysis of Changes to Attributes of Spatial Objects

  • Peter Mooney
  • Padraig Corcoran
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The quality of volunteered and crowd-sourced spatial data is not in most cases audited prior to being made accessible to end-users. Studies have shown that this spatial data varies significantly in terms of its geometric quality, its semantic consistency, in terms of its comprehensiveness of coverage and in terms of its currency. Subsequently it often compares poorly with the authoritative data capture and mapping undertaken by national mapping agencies and commercial companies. In this paper we highlight a specific type of problem encountered with volunteered geographic information (VGI) – the naming of real-world features. Many Location-based Services (LBS) applications are using VGI as a spatial data source. Examples include: www.mapswithme.com the offline travel guide and routing application OpenRouteService (www.openrouteservice.org). The volatility in VGI, as shown by the results in this paper, will require LBS developers to carefully consider how they manage and use the spatial data sources generated by VGI and crowd-source paradigms.

Keywords

VGI OpenStreetMap Crowd-sourcing Spatial Data 

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References

  1. Ackroyd, M.; “Isolated word recognition using the weighted Levenshtein distance,” Acoustics, Speech and Signal Processing, IEEE Transactions on, vol.28, no.2, pp. 243-244, Apr 1980CrossRefGoogle Scholar
  2. Allen, J.P.; (2010), “Knowledge-Sharing Successes in Web 2.0 Communities,” Technology and Society Magazine, IEEE, vol.29, no.1, pp.58–64, Spring 2010CrossRefGoogle Scholar
  3. Beall, J (2010) Geographical research and the problem of variant place names in digitized books and other full-text resources, Library Collections, Acquisitions, and Technical Services, Volume 34, Issues 2–3, Pages 74–82CrossRefGoogle Scholar
  4. Bordogna, G., Ghisalbertib G., Psaila, G., Geographic information retrieval: Modeling uncertainty of user’s context, Fuzzy Sets and Systems (2011), doi:10.1016/j.fss.2011.04.005Google Scholar
  5. Codescu, M., Horsinka, G., Kutz, O., Mossakowski, T. and Rau, R. 2010. DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap, Fourth International Conference on Geospatial Semantics. Brest, France.Google Scholar
  6. De Longueville, B., Ostländer, N. and Keskitalo, C. (2010) Addressing vagueness in Volunteered Geographic Information (VGI) – A case study. International Journal of Spatial Data Infrastructures Research, Vol 5 ISSN 1725-0463Google Scholar
  7. Edwardes, A.J. 2009. Geographical perspectives on location for location based services. In Proceedings of the 2nd International Workshop on Location and the Web (LOCWEB ‘09). ACM, New York, NY, USA,, Article 5, 4 pages.Google Scholar
  8. Fritz S., McCallum I., Schill C., Perger C., Grillmayer R., Achard F., Kraxner F., Obersteiner M. Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover. Remote Sensing. 2009; 1(3):345–354.CrossRefGoogle Scholar
  9. Girres, J.-F., and Touya, G. Quality assessment of the french openstreetmap dataset. Transactions in GIS 14, 4 (2010), 435459.CrossRefGoogle Scholar
  10. Haklay, M. How good is volunteered geographical information? a comparative study ofopenstreetmap and ordnance survey datasets. Environment and Planning B: Planning and Design 37, 4 (2010), 682–703.CrossRefGoogle Scholar
  11. Meiqun Hu, Ee-Peng Lim, Aixin Sun, Hady Wirawan Lauw, and Ba-Quy Vuong. (2007). Measuring article quality in wikipedia: models and evaluation. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (CIKM ‘07). ACM, New York, NY, USA, 243–252.Google Scholar
  12. Jacob, R., Mooney, P., Corcoran, P., and Winstanley, A. C. (2010). Haptic-GIS: exploring the possibilities. SIGSPATIAL Special 2, 3 (November 2010), 13–18.Google Scholar
  13. Jaro, M. A. (1989). “Advances in record linkage methodology as applied to the 1985 census of Tampa Florida”. Journal of the American Statistical Society 84 (406): 414–20.Google Scholar
  14. Joshi, D., and Luo, J., and Yu, J., and Lei, P., and Gallagher, A. (2010). Rich location-driven tag cloud suggestions based on public, community, and personal sources. In Proceedings of the 1st ACM international workshop on Connected multimedia (CMM ‘10). ACM, New York, NY, USA, 21–26.Google Scholar
  15. Carsten Keßler, Patrick Maué, Jan Torben Heuer and Thomas Bartoschek, Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags GEOSPATIALSEMANTICS, Lecture Notes in Computer Science, 2009, Volume 5892/2009, pages 83–102Google Scholar
  16. Mokbel, M and Levandoski, J. (2009). Toward context and preference-aware location-based services. In Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE ‘09). ACM, New York, NY, USA, 25–32.Google Scholar
  17. Mooney, P., Corcoran, P., and Winstanley, A. C. A study of data representation of natural features in openstreetmap. In Proceedings of the 6th GIScience International Conference on Geographic Information Science (2010a), GIScience 2010, University of Zurich, p. p150.Google Scholar
  18. Mooney, P., Corcoran, P., and Winstanley, A. C. Towards quality metrics for openstreetmap. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (New York, NY, USA, 2010b), GIS ’10, ACM, pp. 514–517.Google Scholar
  19. Mooney, P and Corcoran, P., Accessing the history of objects in OpenStreetMap. Proceedings of the 14thAGILE International Conference on Geographic Information Science, Utrecht, The Netherlands, Eds: Stan Geertman, Wolfgang Reinhardt and Fred Toppen p 141 April 2011.Google Scholar
  20. Neis, P. (2011) OpenStreetMap Routing View Europe (May 2011) Online Blog http:// neis-one.org/2011/05/routing-view-2011-05/ (Last checked May 2011)Google Scholar
  21. Over, A. Schilling, S. Neubauer, A. Zipf, Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany, Computers, Environment and Urban Systems, Volume 34, Issue 6, GeoVisualization and the Digital City – Special issue of the International Cartographic Association Commission on GeoVisualization, November 2010, Pages 496–507Google Scholar
  22. OSM (2010) The Map Features Page on OpenStreetMap Wiki http://wiki.openstreetmap.org/wiki/Map_Features (Last Checked May 2011)Google Scholar
  23. Stein, K and Hess, K. 2007. Does it matter who contributes: a study on featured articles in the german wikipedia. In Proceedings of the eighteenth conference on Hypertext and hypermedia (HT ‘07). ACM, New York, NY, USA, 171–174.Google Scholar
  24. Rice, Matthew T. and Hammill, William C. and Aburizaiza, Ahmad O. and Schwarz, Sara and Jacobson, R. Daniel and Ruas, Anne. Integrating User-contributed Geospatial Data with assistive Geotechnology Using a localized Gazetteer. Advances in Cartography and GIScience. Volume 1 Lecture Notes in Geoinformation and Cartography 2011, Springer Berlin, pages 279–291Google Scholar
  25. TagInfo The TagInfo Application (2011) http://taginfo.openstreetmap.de (Last Checked May 2011)Google Scholar
  26. Top, P.; Dowla, F.; Gansemer, J.;, “ADynamic ProgrammingAlgorithm for Name Matching,” Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on, vol., no., pp.547–551, March 1 2007-April 5 2007Google Scholar
  27. Twaroch, F.A and Purves, R.S. and Jones, C.B (2009) Stability of Qualitative Spatial Relations between Vernacular Regions Mined from Web Data, International Workshop on Geographic Information on the Internet, Toulouse, FranceGoogle Scholar
  28. Twaroch F.A., Jones, C.B. and Abdelmoty, A.I.: (2008) Acquisition of a Vernacular Gazetteer from Web Sources. In: Workshop on Location on the Web 2008, Locweb 2008, Beijing, China, pp. 61--64.Google Scholar
  29. Yujian, Li; Bo, Liu;, “A Normalized Levenshtein Distance Metric,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.29, no.6, pp.1091–1095, June 2007CrossRefGoogle Scholar
  30. Yi Zhang, Aixin Sun, Anwitaman Datta, Kuiyu Chang, and Ee-Peng Lim. (2010). Do Wikipedians follow domain experts?: a domain-specific study on Wikipedia knowledge building. In Proceedings of the 10th annual joint conference on Digital libraries (JCDL ‘10). ACM, New York, NY, USA, 119–128.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Peter Mooney
    • 1
  • Padraig Corcoran
    • 2
  1. 1.Department of Computer ScienceNational University of Ireland MaynoothMaynoothIreland
  2. 2.School of Computer Science & InformaticsUniversity College DublinDublinIreland

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