Suggestive Geo-Tagging Assistance for Geo-Collaboration Tools

Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC, volume 0)

Abstract

An argumentation map is an online discussion forum for spatially related topics that combines the forum with an interactive map. The utility of an argumentation mapping tool highly depends on the accuracy and quantity of the geo-tags that link the discussion contributions to geographic locations. These geo-tags can be created manually by the users of the argumentation map or automatically by a geo-parsing application. However, in the case of manual geo-tagging users often do not create geo-tags as extensively as desired. In contrast, automatic geo-parsers have difficulties with the informal language often used in user-generated content and with resolving small-scale features.

This paper proposes a hybrid approach for geo-tagging user-generated content which involves the users in the process but supports them with an automatic geo-parser which suggests locations. The implementation of a prototype as well as a human participants test are presented in order to analyze the geo-tagging performance of this approach. It turns out that it is possible to reduce the number of geo-tagging errors but keep the recall rate approximately constant, compared to automatic geo-parsers.

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Notes

Acknowledgments

This work has been funded by the SimCat project granted by the German Research Foundation (DFG Ra1062/2-1 and Ja1709/2-2, see http://sim-dl.sourceforge.net). Special thanks go to Claus Rinner and Werner Kuhn for valuable comments.

References

  1. Amitay E, Har'el N, Sivan R, Soffer A (2004). Web-a-where: Geotagging web content. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, ACM Press, pp 273-280Google Scholar
  2. Blessing A, Kuntz R, Schütze H (2007). Towards a context model driven German geo-tagging system. In: GIR '07: Proceedings of the 4th ACM workshop on Geographical information retrieval, ACM, pp 25-30Google Scholar
  3. Chaves M, Silva M J, Martins B (2005), A Geographic Knowledge Base for Semantic Web Applications. In: Proceedings of SBBD-05, the 20th Brazilian Symposium on Databases, UFU, pp 40-54Google Scholar
  4. Gale W, Church K, Yarowsky D (1992). One sense per discourse. In: Proceedings of the workshop on Speech and Natural Language, HLT '91, Association for Computational Linguistics, pp 233-237Google Scholar
  5. Gardent C, Webber B (2001). Towards the Use of Automated Reasoning in Discourse Disambiguation. In: Journal of Logic, Lang. and Inf. 10(4): 487-509, Kluwer Academic Publishers, Hingham, USACrossRefGoogle Scholar
  6. Keßler C (2004), Design and Implementation of Argumentation Maps, Diploma thesis, Westfälische Wilhelms-Universität Münster, Germany.Google Scholar
  7. Kingston R, Carver S, Evans A, Turton I (1999), A GIS for the Public: Enhancing Participation in Local Decision Making. GIS Research UK.Google Scholar
  8. Laurini R (2004), Computer Systems for Public Participation. Laboratoire d'Ingénierie des Systèmes d'Information, University of Lyon, France. http://www.gisig.it/VPC_sommet/CD_Sommet/ws3/articololaurini.pdf
  9. Leidner J, Sinclair G, Webber B (2003). Grounding spatial named entities for information extraction and question answering. In: Proceedings of the HLTNAACL 2003 workshop on Analysis of geographic references, Association for Computational Linguistics, pp 31-38Google Scholar
  10. Leidner J (2004). Toponym Resolution in Text: Which Sheffield is it? In: Proceedings of the SIGIR 2004 conference on Research and Development in Information Retrieval, Sheffield, UK, July 25th -29th 2004. ACM Press, New York, USAGoogle Scholar
  11. Mahemoff M (2006), Ajax Design Patterns, O’Reilly Media, Sebastopol, USAGoogle Scholar
  12. Manning C, Raghavan P, Schütze H (2008). Introduction to Information Retrieval, Cambridge University Press, New York, USAGoogle Scholar
  13. Martins B, Chaves M, Silva M J (2005), Assigning Geographical Scopes To Web Pages. In: Advances in Information Retrieval, Springer, pp 564-567Google Scholar
  14. Overell S, Magalhaes J, Ruger S (2006). Place disambiguation with co-occurrence models. In: A. Nardi, C. Peters, and J. L. Vicedo, editors, CLEF 2006 Workshop, Working notes, September 2006Google Scholar
  15. Rauch E, Bukatin M, Baker K (2003). A confidence-based framework for disambiguating geographic terms. In: Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references, Association for Computational Linguistics, pp 50-54Google Scholar
  16. Rinner C (2001), Argumentation maps: GIS-based discussion support for on-line planning. Environment and Planning B: Planning and Design 30(6): 847-863CrossRefGoogle Scholar
  17. Rinner C (2006). Argumentation Mapping in Collaborative Spatial Decision Making. In: S. Dragicevic, S. Balram, Collaborative GIS, Idea Group Publishing, pp 85-102.Google Scholar
  18. Rinner C, Keßler C, Andrulis S (2008). The use of Web 2.0 concepts to support deliberation in spatial decision-making. In: Computers, Environment and Urban Systems 32(5): 386-395CrossRefGoogle Scholar
  19. Sidlar C, Rinner C (2007), Analyzing the Usability of an Argumentation Map as a Participatory Spatial Decision Support Tool. URISA Journal 19(1): 47-55Google Scholar
  20. Silva M J, Martins B, Chaves M, Afonso A P, Cardoso N (2006). Adding Geographic Scopes to Web Resources. In: Computers, Environment and Urban Systems 30(4): 378-399CrossRefGoogle Scholar
  21. Wright S, Street J (2007). Democracy, deliberation and design: the case of online discussion forums. In: New Media Society 9(5): 849-869CrossRefGoogle Scholar
  22. Wu D, Hiltz S R (2004). Predicting Learning from Asynchronous Online Discussions. In: JALN 8(2), April 2004Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Institute for GeoinformaticsUniversity of MünsterMünsterGermany

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