Spatial Perspectives in Event Processing

  • Opher Etzion
  • Nir Zolotorvesky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6462)


The processing of geo-spatial events plays an increasingly important role in constructing enterprise applications that can immediately react to business critical events. In this paper we introduce spatial extensions to the event processing model, starting from the introduction of geo-spatial main concepts, and moving through the life-cycle of event processing application development and discuss spatial event representation, spatial contexts and spatial extensions to event processing patterns. The paper also discusses several use cases from various domains that may benefit from the use of spatial extensions of event processing.


Event Processing Spatial Event Processing Spatiotemporal Event Processing Event context Multi dimensional context Spatial and spatiotemporal contexts 


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  1. 1.
    Adi, A., Biger, A., Botzer, D., Etzion, O., Sommer, Z.: Context Awareness in AMiT. Active Middleware Services, 160–167 (2003)Google Scholar
  2. 2.
    Allen, J.F.: Maintaining Knowledge about Temporal Intervals. ACM Commun. 26(11), 832–843 (1983)CrossRefzbMATHGoogle Scholar
  3. 3.
    Date, C.J.: An Introduction to Database Systems, 6th edn. Addison-Wesley Publishing Company, Reading (1993)zbMATHGoogle Scholar
  4. 4.
    Etzion, O.: Towards an Event-Driven Architecture: An Infrastructure for Event Processing Position Paper. RuleML, 1–7 (2005)Google Scholar
  5. 5.
    Etzion, O.: Temporal Perspectives in Event Processing, Technical Report, IBM Haifa Research Lab (2008)Google Scholar
  6. 6.
    Galton, A.: Fields and objects in space, time, and space-time. Spatial Cognition and Computation 4(1), 39–68 (2004)CrossRefGoogle Scholar
  7. 7.
    Grenon, P., Smith, B.: SNAP and SPAN: Towards dynamic spatial ontology. Forthcoming in the Journal of Spatial Cognition and Computation (2004)Google Scholar
  8. 8.
    Luckham, D.C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley, Reading (2002)Google Scholar
  9. 9.
    Padovitz, A., Loke, S.W., Zaslavsky, A.B.: The ECORA framework: A hybrid architecture for context-oriented pervasive computing. Pervasive and Mobile Computing 4(2), 182–215 (2008)CrossRefGoogle Scholar
  10. 10.
    Sargent, P.: Spatio-Temporal GIS- JRC Ispra Seminar (1998)Google Scholar
  11. 11.
    Schurman, N.: GIS a short introduction, pp. 12–16, 29-30,53-67. Blackwell Publishing, Oxford (2004)Google Scholar
  12. 12.
    Sharon, G., Etzion, O.: Event Processing Networks – model and implementation. IBM System Journal 47(2), 321–334 (2008)CrossRefGoogle Scholar
  13. 13.
    Shevade, B., Sundaram, H., Xie, L.: Exploiting Personal and Social Network Context for Event Annotation. In: ICME 2007, 835–838 (2007)Google Scholar
  14. 14.
    Stock Kristin, M.: Spatio-Temporal Data Management Using Object Lifecycles: A Case Study of the Australian Capital Territory Spatial Data Management System. Journal of Spatial Sciences 51(1), 43–58 (2006)CrossRefGoogle Scholar
  15. 15.
    Worboys Mike, F.: Innovations in GIS. Taylor & Francis, Taylor (1994) ISBN 0-7484-141-5Google Scholar
  16. 16.
    Worboys Mike, F.: GIS - A computing perspective. Taylor and Francis, Taylor (1995) ISBN 0-7484-0065-6Google Scholar
  17. 17.
    Worboys, M.F., Hornsby, K.: From objects to events. GEM, the geospatial event model. In: Third International Conference on GIScience (2004)Google Scholar
  18. 18.
    Worboys, M.F.: Event-Oriented Approaches to Geographic Phenomena. International Journal of Geographical Information Systems (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Opher Etzion
    • 1
  • Nir Zolotorvesky
    • 1
  1. 1.IBM Haifa Research LabHaifa UniversityHaifaIsrael

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