Modeling Noteworthy Events in a Geospatial Domain

  • Stephen Cole
  • Kathleen Hornsby
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3799)


This paper presents an approach for modeling semantics associated with occurrents in geospatial domains. Occurrents correspond to what is commonly thought of as a happening or activity in the real world. We describe a modeling approach where representations of occurrents are modeled as classes of events. Additional semantics are gained by modeling specialized subclasses of event classes as derived events. Significant occurrents are modeled as noteworthy events, i.e., happenings or activities in a domain that require intervention, for example, an automated notification that a noteworthy event has been detected. The representation is extended to treat event sequences that capture a variety of occurrent-based semantics, modeling both routine and unexpected occurrents as experienced, for example, by moving entities, such as vessels in a harbor.


Event Sequence Event Class Intended Destination Departure Zone Noteworthy Event 
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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  1. 1.
    Worboys, M.: A unified model of spatial and temporal information. Computer Journal 37, 26–34 (1994)CrossRefGoogle Scholar
  2. 2.
    Hornsby, K., Egenhofer, M.: Identity-based change: A foundation for spatio-temporal knowledge representation. International Journal of Geographical Information Science 14, 204–207 (2000)CrossRefGoogle Scholar
  3. 3.
    Peuquet, D.: Representations of Space and Time. Guilford, New York (2002)Google Scholar
  4. 4.
    Galton, A.: Desiderata for a spatio-temporal geo-ontology. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 1–12. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  5. 5.
    Grenon, P., Smith, B.: SNAP and SPAN: Towards dynamic spatial ontology. Journal of Spatial Cognition and Computation 4, 69–104 (2004)CrossRefGoogle Scholar
  6. 6.
    Bittner, T., Donnelly, M., Smith, B.: Endurants and perdurants in directly depicting ontologies. AI Communications 17, 247–258 (2004)zbMATHMathSciNetGoogle Scholar
  7. 7.
    Snodgrass, R. (ed.): The TSQL2 Temporal Query Language. Kluwer Academic Publishers, Dordrecht (1995)zbMATHGoogle Scholar
  8. 8.
    Abraham, T., Roddick, J.: Survey of spatio-temporal databases. GeoInformatica 3, 61–99 (1999)CrossRefGoogle Scholar
  9. 9.
    Yuan, M.: Representing complex geographic phenomena in GIS. Cartography and Geographic Information Science 28, 83–96 (2001)CrossRefGoogle Scholar
  10. 10.
    Worboys, M.: Modeling changes and events in dynamic spatial systems with reference to socio-economic units. In: Frank, A., Raper, J., Cheylan, J. (eds.) Life and Motion of Socio-Economic Units, vol. 8, pp. 129–138. MacMillan, New Zealand (2001)Google Scholar
  11. 11.
    Pfoser, D., Jensen, C., Theodoridis, Y.: Novel approaches in query processing for moving object trajectories. In: Proceedings of the 26th International Conference on Very Large Data Bases, pp. 395–406. Morgan Kaufmann Publishers Inc., Cairo (2002)Google Scholar
  12. 12.
    Song, Z., Roussopoulos, N.: K-Nearest neighbor search for moving query point. In: Proceedings of the 7th Intl. Symposium on Advances in Spatial and Temporal Databases, pp. 79–96. Springer, Heidelberg (2001)Google Scholar
  13. 13.
    Papadias, P., Tao, Y., Kalnis, P., Zhang, J.: Indexing spatio-temporal data warehouses. In: 18th International Conference on Data Engineering, pp. 166–175. IEEE Computer Society, San Jose (2002)CrossRefGoogle Scholar
  14. 14.
    Worboys, M.: Event-oriented approaches to geographic phenomena. International Journal of Geographical Information Science 19, 1–28 (2005)CrossRefGoogle Scholar
  15. 15.
    Worboys, M., Hornsby, K.: From objects to events: GEM, the geospatial event model. In: Egenhofer, M.J., Freksa, C., Miller, H.J. (eds.) GIScience 2004. LNCS, vol. 3234, pp. 327–344. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Galton, A.: Fields and objects in space, time, and space-time. Journal of Spatial Cognition and Computation 4, 39–68 (2004)CrossRefGoogle Scholar
  17. 17.
    Hornsby, K., Egenhofer, M.: Modeling moving objects over multiple granularities. In: Annals of Mathematics and Artificial Intelligence, vol. 36, pp. 177–194. Kluwer Academic Press, Dordrecht (2002)Google Scholar
  18. 18.
    Wolfson, O.: Moving objects information management: The database challenge. In: Halevy, A.Y., Gal, A. (eds.) NGITS 2002. LNCS, vol. 2382, pp. 75–89. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  19. 19.
    Xie, R., Shibasaki, R.: A unified spatio-temporal schema for representing and querying moving features. SIGMOD Record 34, 45–50 (2005)CrossRefGoogle Scholar
  20. 20.
    Dayal, U., Buchmann, A., McCarthy, D.: Rules are objects too: A knowledge model for an active, object-oriented database system. In: Dittrich, K.R. (ed.) OODBS 1988. LNCS, vol. 334, pp. 129–143. Springer, Heidelberg (1988)Google Scholar
  21. 21.
    Carzaniga, A., Rosenblum, D., Wolf, A.: Achieving scalability and expressiveness in an internet-scale event notification service. In: Proceedings of the 19thAnnual ACM Symposium on Principles of Distributed Computing (PODC 2000), Portland, OR, pp. 219–227. ACM Press, New York (2002)Google Scholar
  22. 22.
    Hinze, A., Voisard, A.: A flexible parameter-dependent algebra for event notification services. Technical Report Number tr-b-02-10, Freie Universitat Berlin, pp. 1-17 (2002)Google Scholar
  23. 23.
    USCG Universal shipborne automatic identification system transponder. United States Coast Guard (2003), (2005)
  24. 24.
    Galton, A.: Qualitative Spatial Change. Oxford University Press, Oxford (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Stephen Cole
    • 1
  • Kathleen Hornsby
    • 1
  1. 1.Department of Spatial Information Science and Engineering, National Center for Geographic Information and AnalysisUniversity of MaineOronoUSA

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