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Modeling Noteworthy Events in a Geospatial Domain

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GeoSpatial Semantics (GeoS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3799))

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Abstract

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.

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References

  1. Worboys, M.: A unified model of spatial and temporal information. Computer Journal 37, 26–34 (1994)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  3. Peuquet, D.: Representations of Space and Time. Guilford, New York (2002)

    Google Scholar 

  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)

    Chapter  Google Scholar 

  5. Grenon, P., Smith, B.: SNAP and SPAN: Towards dynamic spatial ontology. Journal of Spatial Cognition and Computation 4, 69–104 (2004)

    Article  Google Scholar 

  6. Bittner, T., Donnelly, M., Smith, B.: Endurants and perdurants in directly depicting ontologies. AI Communications 17, 247–258 (2004)

    MATH  MathSciNet  Google Scholar 

  7. Snodgrass, R. (ed.): The TSQL2 Temporal Query Language. Kluwer Academic Publishers, Dordrecht (1995)

    MATH  Google Scholar 

  8. Abraham, T., Roddick, J.: Survey of spatio-temporal databases. GeoInformatica 3, 61–99 (1999)

    Article  Google Scholar 

  9. Yuan, M.: Representing complex geographic phenomena in GIS. Cartography and Geographic Information Science 28, 83–96 (2001)

    Article  Google Scholar 

  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. 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. 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. 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)

    Chapter  Google Scholar 

  14. Worboys, M.: Event-oriented approaches to geographic phenomena. International Journal of Geographical Information Science 19, 1–28 (2005)

    Article  Google Scholar 

  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)

    Chapter  Google Scholar 

  16. Galton, A.: Fields and objects in space, time, and space-time. Journal of Spatial Cognition and Computation 4, 39–68 (2004)

    Article  Google Scholar 

  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. 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)

    Chapter  Google Scholar 

  19. Xie, R., Shibasaki, R.: A unified spatio-temporal schema for representing and querying moving features. SIGMOD Record 34, 45–50 (2005)

    Article  Google Scholar 

  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. 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. 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. USCG Universal shipborne automatic identification system transponder. United States Coast Guard (2003), http://www.navcen.uscg.gov/marcomms/ais.htm (2005)

  24. Galton, A.: Qualitative Spatial Change. Oxford University Press, Oxford (2000)

    Google Scholar 

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Cole, S., Hornsby, K. (2005). Modeling Noteworthy Events in a Geospatial Domain. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds) GeoSpatial Semantics. GeoS 2005. Lecture Notes in Computer Science, vol 3799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11586180_6

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  • DOI: https://doi.org/10.1007/11586180_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30288-9

  • Online ISBN: 978-3-540-32283-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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