Qualitative Spatial Relation Database for Semantic Web

  • Sheng-sheng Wang
  • Da-you Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


Geospatial Semantic Web (GSW) has become one of the most prominent research themes in geographic information science over the last few years. The traditional spatial database stores the quantitative data such as coordinate, while GSW needs much qualitative information such as spatial relation. The previous qualitative spatio-temporal systems were all prototype systems which did not support general spatio-temporal relation model and data input. We design the qualitative spatial relation database (QSRDB) based on spatial reasoning. GML data can be converted to QSRDB as data input. OWL ontologies can be generated from QSRDB and applied to GSW systems.


Spatial Relation Atomic Function Spatial Object Spatial Reasoning Cardinal Direction 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Egenhofer, M.J.: Toward the Semantic Geospatial Web. In: Proceedings of the Tenth ACM International Symposium on Advances in Geographic Information Systems, McLean, Virginia (2002)Google Scholar
  2. 2.
    Kemp, K.K., Goodchild, M.F., Mark, D.M., et al.: Varenius:NCGIA’s project to advance geographic information science. In: Proceedings of Geographical Informationp 1997:from Research to Applications through Cooperation, Amsterdam, pp. 25–31 (1997)Google Scholar
  3. 3.
    Mark, D.M., Freksa, C., Hirtle, S., et al.: Cognitive models of geographical space. International Journal of Geographical Information Science 13(8), 747–774 (1999)CrossRefGoogle Scholar
  4. 4.
    Cohn, A.G., Hazarika, S.M.: Qualitative Spatial Representation and Reasoning: An Overview. Fundamental Informatics 46(1-2), 1–29 (2001)MATHMathSciNetGoogle Scholar
  5. 5.
    Escrig, M.T., Toledo, F.: Qualitative Spatial Reasoning: Theory and Practice. Ohmsha published (1999)Google Scholar
  6. 6.
    Bennett, B., Cohn, A.G., Isli, A.: Combining multiple representations in a spatial reasoning system. In: Proc. 9th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 1997), Newport Beach, CA, pp. 37–45 (1997)Google Scholar
  7. 7.
    Duntsch, I., Wang, H., McCloskey, S.: Relation algebras in spatial reasoning. In: Orlowska, E., Szatas, A. (eds.) Extended Abstracts of the 4th Seminar on Relational Methods in Algebra, Logic, and Computer Science, pp. 63–68 (1998)Google Scholar
  8. 8.
    Randell, D., Cui, Z., Cohn, A.: A spatial logic based on regions and connection. In: Proceedings of the 3rd International Conference on Knowledge Representation and Reasoning, pp. 165–176. Morgan Kaufmann, San Francisco (1992)Google Scholar
  9. 9.
    Serafino, C., Paolino, D.F.: Cardinal Directions between Spatial Objects: the Pairwise-Consistency Problem. Information Sciences 164, 165–188 (2004)MATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Skiadopoulos, S., Koubarakis, M.: Composing Cardinal Direction Relations. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, pp. 299–317. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  11. 11.
    Clementini, E., Di Felice, P.: An algebraic model for spatial objects with indeterminate boundaries. In: Burrough, P.A., Frank, A.U. (eds.) Geographic Objects with Indeterminate Boundaries, pp. 155–169. Taylor & Francis, London (1996)Google Scholar
  12. 12.
  13. 13.
    Kolas, D., Hebeler, J., Dean, M.: Geospatial Semantic Web: Architecture of Ontologies. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 183–194. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sheng-sheng Wang
    • 1
  • Da-you Liu
    • 1
  1. 1.Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Educaion, College of Computer Science and TechnologyJilin UniversityChangchunChina

Personalised recommendations