Advertisement

A Conceptual Framework for Spatiotemporal Data Modeling

  • Kuo Wang
  • Cristina Fierbinteanu
  • Mamoru Maekawa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2736)

Abstract

Conceptual data modeling of spatiotemporal applications is used to describe user’s cognition of real world phenomena and must support adequate concepts and notations with accurate semantics to allow the developer to capture and present spatiotemporal information. In this paper we propose a conceptual framework for spatiotemporal geographic data modeling, which is based on the Object-Oriented concept and additionally provides an expression for capturing space, time and time-varying information. The framework is built around the concept of geographic theme. We focus on using operations to define a new theme based on already defined themes, the internal representation being completely hidden from the user.

Keywords

Geographic Information System Convenience Store Existence Time Valid Time National Road 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Abraham, T., Roddick, J.F.: Survey of spatio-temporal databases. GeoInformatica 3(1), 61–99 (1999)CrossRefGoogle Scholar
  2. 2.
    Allen, J.F.: Maintaining knowledge about temporal intervals. Communications of the ACM 26(11), 832–843 (1983)zbMATHCrossRefGoogle Scholar
  3. 3.
    Borges, K.A.V., Laender, A.H.F., Davis Jr., C.A.: Spatial data integrity constraints in object oriented geographic data modeling. In: ACM GIS 1999, pp. 1–5. ACM Press, New York (1999)CrossRefGoogle Scholar
  4. 4.
    da Rocha, L.V., Edelweiss, N., Iochpe, C.: GeoFrame-T: A temporal conceptual framework for data modeling. In: ACM GIS 2001, Proceedings of the 9th International Symposium on Advances in Geographic Information Systems, Atlanta, Georgia, USA, November 9–10, pp. 124–129. ACM, New York (2001)CrossRefGoogle Scholar
  5. 5.
    Egenhofer, M.J., Frank, A.U.: Towards a spatial query language: User interface considerations. In: Bancilhon, F., DeWitt, D.J. (eds.) Very large data bases: 1988, 14th VLDB, Los Angeles, USA, August 29–September 1 (1988); Proceedings of the Fourteenth International Conference on Very Large Data Bases, Los Altos, CA 94022, USA, pp. 124–133. Morgan Kaufmann Publishers, San Francisco (1988)Google Scholar
  6. 6.
    Egenhofer, M.J., Frank, A.U.: Object-oriented modeling for GIS. Journal of the Urban and Regional Information Systems Association 4, 3–19 (1992)Google Scholar
  7. 7.
    Faria, G., Medeiros, C.B., Nascimento, M.A.: An extensible framework for spatio-temporal database applications. Statistical and Scientific Database Management, 202–205 (1998)Google Scholar
  8. 8.
    Filho, J.L., Iochpe, C.: Specifying analysis patterns for geographic databases on the basis of a conceptual framework. In: Medeiros, C.B. (ed.) ACM GIS 1999, Proceedings of the 7th International Symposium on Advances in Geographic Information Systems, Kansas City, USA, November 2–6, pp. 7–13. ACM, New York (1999)CrossRefGoogle Scholar
  9. 9.
    Friis-Christensen, A., Tryfona, N., Jensen, C.S.: Requirements and research issues in geographic data modeling. In: Proceedings of the ninth ACM international symposium on Advances in geographic information systems, pp. 2–8. ACM Press, New York (2001)CrossRefGoogle Scholar
  10. 10.
    Gregersen, H., Jensen, C.S.: Temporal entity-relationship models – A survey. Transaction on Knowledge and Data Engineering 11(3), 464–497 (1999)CrossRefGoogle Scholar
  11. 11.
    Jensen, C.S., Dyreson, C., et al.: The consensus glossary of temporal database concepts (February 1998 version). In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, pp. 367–405. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  12. 12.
    Parent, C., Spaccapietra, S., Zimanyi, E.: Spatio-temporal conceptual models: Data structures + space + time. In: ACM GIS 1999, pp. 26–33. ACM Press, New York (1999)CrossRefGoogle Scholar
  13. 13.
    Pavlopoulos, A., Theodoulidis, B.: Review of spatiotemporal data models. Technical report, TimeLab Technical Report TR-98-3 (1998)Google Scholar
  14. 14.
    Pfoser, D., Tryfona, N.: Requirements, definitions and notations for spatiotemporal application environments. In: ACM GIS 1998 (November 1998)Google Scholar
  15. 15.
    Price, R., Tryfona, N., Jensen, C.S.: A conceptual modeling language for spatiotemporal applications. Technical Report CH-99-20, CHOROCHRONOS (1999)Google Scholar
  16. 16.
    Theodoulidis, B., et al.: Review of temporal object-oriented approachesGoogle Scholar
  17. 17.
    Tryfona, N., Jensen, C.S.: Using abstractions for spatio-temporal conceptual modeling. In: Proceedings of the 2000 ACM symposium on Applied computing 2000, pp. 313–322. ACM Press, New York (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Kuo Wang
    • 1
  • Cristina Fierbinteanu
    • 2
  • Mamoru Maekawa
    • 1
  1. 1.The Graduate School of Information SystemsUniversity of Electro-CommunicationsTokyoJapan
  2. 2.Metroul S.A., Inc.BucharestRomania

Personalised recommendations