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Intuitive Modelling of Place Name Regions for Spatial Information Retrieval

  • Thomas Vögele
  • Christoph Schlieder
  • Ubbo Visser
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2825)

Abstract

Reasoning about spatial relevance is important for intelligent spatial information retrieval. In heterogeneous and distributed systems like the Semantic Web, spatial reasoning has to be based on light-weight, interoperable and easy-to-use spatial metadata.

In this paper we present an approach to an intuitive and user-friendly creation and application of spatial metadata that are used for spatial relevance reasoning. The metadata are based on discrete approximations of place name regions. Based on knowledge about cognitive aspects of preferred spatial models, our approach allows for the representation and intuitive modelling of indeterminate regions in addition to regions with well-known boundaries.

Keywords

Geographic Information System Discrete Approximation Decomposition Tree Spatial Reasoning Intuitive Modelling 
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. 1.
    Bennett, B.: Spatial reasoning with propositional logics. In: Doyle, J., Sandewall, E., Torasso, P. (eds.) 4th International Conference on the Principles of Knowledge Representation and Reasoning (KR 1994), San Francisco, Morgan Kaufmann, San Francisco (1994)Google Scholar
  2. 2.
    Bittner, T., Stell, J.G.: Vagueness and rough location. GeoInformatica 6(2), 99–121 (2002)zbMATHCrossRefGoogle Scholar
  3. 3.
    Cohn, A.G., Gotts, N.M.: The ’egg-yolk’ representation of regions with indeterminate boundaries. In: Burrough, P.A., Frank, A. (eds.) Geographic Objects with Indeterminate Boundaries, pp. 45–55. Taylor and Francis, London (1996)Google Scholar
  4. 4.
    Egenhofer, M.J., Mark, D.M.: Naive geography. In: Kuhn, W., Frank, A.U. (eds.) COSIT 1995. LNCS, vol. 988, Springer, Heidelberg (1995)Google Scholar
  5. 5.
    Frank, A.: Qualitative spatial reasoning: Cardinal directions as an example. International Journal of Geographical Information Systems 10(3), 269–290 (1996)Google Scholar
  6. 6.
    Galton, A.: The mereotopology of discrete space. In: Freksa, C., Mark, D.M. (eds.) COSIT 1999. LNCS, vol. 1661, pp. 251–266. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  7. 7.
    Hill, L.L.: Core elements of digital gazetteers: placenames, categories, and footprints. In: Borbinha, J.L., Baker, T. (eds.) ECDL 2000. LNCS, vol. 1923, pp. 280–290. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  8. 8.
    Knauff, M., Rauh, R., Schlieder, C., Strube, G.: Mental models in spatial reasoning. In: Freksa, C., Habel, C., Wender, K.F. (eds.) Spatial Cognition 1998. LNCS (LNAI), vol. 1404, pp. 267–291. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  9. 9.
    Molenaar, M.: An Introduction to the Theory of Spatial Object Modelling. Research Monographs in Geographical Information Systems. Taylor and Francis, London (1998)Google Scholar
  10. 10.
    Randell, D.A., Cui, Z., Cohn, A.G.: A spatial logic based on regions and connection. In: 3rd International Conference on Knowledge Representation and Reasoning, San Francisco, pp. 165–176. Morgan Kaufmann, San Francisco (1992)Google Scholar
  11. 11.
    Rauh, R., Hagen, C., Schlieder, C., Strube, G., Knauff, M.: Searching for alternatives in spatial reasoning: Local transformations and beyond. In: Proceedings of the 22nd Annual Conference of the Cognitive Science Society, Mahwah, NJ, pp. 871–876. Lawrence Erlbaum Associates, Mahwah (2000)Google Scholar
  12. 12.
    Riekert, W.-F.: Erschließung von fachinformationen im internet mit hilfe von thesauri und gazetteers. In: Dade, C., Schulz, B. (eds.) Management von Umweltinformationen in vernetzten Umgebungen, 2nd workshop HMI, Nürnberg (1999)Google Scholar
  13. 13.
    Schlieder, C.: The construction of preferred mental models in reasoning with allen’s relations. In: Habel, C., Rickheit, G. (eds.) Mental models in discourse processing and reasoning, Elsevier Science, Oxford (1999)Google Scholar
  14. 14.
    Schlieder, C., Vögele, T.: Indexing and browsing digital maps with intelligent thumbnails. In: Proceedings of the International Symposium on Spatial Data Handling (SDH) 2002, Ottawa, Canada, Springer, Heidelberg (2002)Google Scholar
  15. 15.
    Schlieder, C., Vögele, T., Visser, U.: Qualitative spatial reasoning for information retrieval by gazetteers. In: Montello, D.R. (ed.) COSIT 2001. LNCS, vol. 2205, p. 336. Springer, Heidelberg (2001)Google Scholar
  16. 16.
    Vandierendonck, A., De Vooght, G.: Mental models and working memory in temporal reasoning and spatial reasoning. In: De Keyser, V., d’Ydewalle, G., Vandierendonck, A. (eds.) Time and the dynamic control of behavior, pp. 383–402. Hogrefe und Huber, Göttingen (1998)Google Scholar
  17. 17.
    Vögele, T., Schlieder, C.: Spatially-aware information retrieval with place names. In: Proceedings of the 16th international FLAIRS conference, St. Augustine, FL, AAAI Press, Menlo Park (2003) (to appear)Google Scholar
  18. 18.
    Worboys, M.F.: Imprecision in finite resolution spatial data. GeoInformatica 2, 257–279 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Thomas Vögele
    • 1
  • Christoph Schlieder
    • 2
  • Ubbo Visser
    • 1
  1. 1.Center for Computing Technologies (TZI)Universität BremenBremenGermany
  2. 2.Universität BambergBambergGermany

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