Architecture for a Grounded Ontology of Geographic Information

  • Allan Third
  • Brandon Bennett
  • David Mallenby
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4853)


A major problem with encoding an ontology of geographic information in a formal language is how to cope with the issues of vagueness, ambiguity and multiple, possibly conflicting, perspectives on the same concepts. We present a means of structuring such an ontology which allows these issues to be handled in a controlled and principled manner, with reference to an example ontology of the domain of naive hydrography, and discuss some of the issues which arise when grounding such a theory in real data — that is to say, when relating qualitative geographic description to quantitative geographic data.


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  1. 1.
    Cameron, W.M., Pritchard, D.W.: Estuaries. In: Hill, M.N. (ed.) The Sea: The Composition of Sea-water, vol. 2, Harvard University Press (1963)Google Scholar
  2. 2.
    Cai, G.: Contextualization of geospatial database semantics for mediating human-GIS dialogues. Geoinformatica 11(2), 217–237 (2007)CrossRefGoogle Scholar
  3. 3.
    Zadeh, L.A.: Fuzzy logic and approximate reasoning. Synthese 30, 407–428 (1975)MATHCrossRefGoogle Scholar
  4. 4.
    Williamson, T.: Vagueness. Routledge, London (1994)Google Scholar
  5. 5.
    Fine, K.: Vagueness, truth and logic. Synthése 30, 263–300 (1975)Google Scholar
  6. 6.
    Bennett, B.: Application of supervaluation semantics to vaguely defined spatial concepts. In: Montello, D.R. (ed.) COSIT 2001. LNCS, vol. 2205, pp. 108–123. Springer, Heidelberg (2001)Google Scholar
  7. 7.
    Bennett, B.: What is a forest? on the vagueness of certain geographic concepts. Topoi 20(2), 189–201 (2001)CrossRefGoogle Scholar
  8. 8.
    Bennett, B.: A theory of vague adjectives grounded in relevant observables. In: Doherty, P., Mylopoulos, J., Welty, C.A. (eds.) Proceedings of the Tenth International Conference on Principles of Knowledge Representation and Reasoning, pp. 36–45. AAAI Press (2006)Google Scholar
  9. 9.
    Randell, D.A., Cui, Z., Cohn, A.G.: A spatial logic based on regions and connection. In: Proc. 3rd Int. Conf. on Knowledge Representation and Reasoning, San Mateo, pp. 165–176. Morgan Kaufmann, San Francisco (1992)Google Scholar
  10. 10.
    Bennett, B.: A categorical axiomatisation of region-based geometry. Fundamenta Informaticae 46(1–2), 145–158 (2001)MATHMathSciNetGoogle Scholar
  11. 11.
    Allen, J.F.: Towards a general theory of action and time. Artificial Intelligence 23(2), 123–154 (1984)MATHCrossRefGoogle Scholar
  12. 12.
    Bennett, B.: Modes of concept definition and varieties of vagueness. Applied Ontology 1(1) (2005)Google Scholar
  13. 13.
    Bennett, B.: Space, time, matter and things. In: Welty, C., Smith, B. (eds.) FOIS 2001. Proceedings of the 2nd international conference on Formal Ontology in Information Systems, Ogunquit, pp. 105–116. ACM, New York (2001)CrossRefGoogle Scholar
  14. 14.
    Mallenby, D.: Grounding a geographic ontology on geographic data. In: Logical Formalizations of Commonsense Reasoning: papers from the AAAI Spring Symposium. AAAI Technical Report SS-07-05 (2007)Google Scholar
  15. 15.
    Santos, P., Bennett, B., Sakellariou, G.: Supervaluation semantics for an inland water feature ontology. In: Kaelbling, L.P., Saffiotti, A. (eds.) Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, pp. 564–569. Professional Book Center (2005)Google Scholar
  16. 16.
    Kokla, M., Kavouras, M.: Fusion of top-level and geographical domain ontologies based on context formation and complementarity. International Journal of Geographical Information Science 15(7), 679–687 (2001)CrossRefGoogle Scholar
  17. 17.
    Fonseca, F., Egenhofer, M., Davis, C., Câmara, G.: Semantic granularity in ontology-driven geographic information systems. Annals of Mathematics and Artificial Intelligence 36, 121–151 (2002)MATHCrossRefMathSciNetGoogle Scholar
  18. 18.
    Smith, B., Mark, D.M.: Ontology and geographic kinds. In: Proceedings of the International Symposium on Spatial Data Handling (1998)Google Scholar
  19. 19.
    Worboys, M., Duckham, M.: Integrating spatio-thematic information. In: Egenhofer, M.J., Mark, D.M. (eds.) GIScience 2002. LNCS, vol. 2478, pp. 346–361. Springer, Heidelberg (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Allan Third
    • 1
  • Brandon Bennett
    • 1
  • David Mallenby
    • 1
  1. 1.School of Computing, University of Leeds, Leeds, LS2 9JTUK

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