Skip to main content

Dynamic Models of Geographic Environment using Ontological Relations

  • Conference paper
  • First Online:
Information Fusion and Geographic Information Systems

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

  • 810 Accesses

Abstract

The geographic environment contains different types of entities: for instance, cars, considered as geographical objects, as well as entities such as storms, considered as geographical phenomena. With these entities occurs something commonly called events. These represent the dynamics of a geographical environment. If these entities are modeled based on an object-oriented approach, only properties and relations between other entities are considered, but the dynamic aspects are not. However, if they are modeled based on an event-oriented approach, the semantic relations of the dynamic aspects are indispensably needed to model the environment, considering instantly changed geographic entities, properties and relations as well as the subsequent effects they may cause to the environment and to other entities. We use Ontology Relations to explicitly describe changes in the properties and relations of geographic entities modified by events. A proposed algorithm generates a semantic chain that represents a whole episode about events over different duration time intervals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. . Campos J and Hornsby K (2004) Temporal constraints between cyclic geographic events. In: Proceedings of GeoInfo 2004, Campos do Jordao, Brazil, November 22-24

    Google Scholar 

  2. Car A and Frank A (1995) Formalization of conceptual models for GIS using GOFER. J Computers, Environment, and Urban Systems 19: 89–98

    Article  Google Scholar 

  3. Claramunt C and Theriault M (1995) Managing time in GIS: an event-oriented approach. In: Clifford J and Tzunhilin A (eds) Recent Advances in Temporal Databases, Berlin: Springer-Verlag, pp 23–42

    Chapter  Google Scholar 

  4. Claramunt C and Theriault M (1996) Toward semantics for modeling spatio-temporal processes within GIS. In: Kraak M and Molenaar M (eds) Proceedings of 7th International Symposium on Spatial Data Handling, Delft, NL, Taylor & Francis Ltd, pp 47-63

    Google Scholar 

  5. Gruber TR (1993) Toward Principles for the Design of Ontologies Used for Knowledge Sharing. In: Formal Ontology in Conceptual Analysis and Knowledge Representation, International Workshop on Formal Ontology, Guarino N and Poli R (eds), Kluwer Academic Publishers, In press, Padova, Italy, pp 101–124, 1993

    Google Scholar 

  6. Hornsby K (2001) Temporal zooming, Transactions in GIS, 5(3): 255–272

    Article  Google Scholar 

  7. Hornsby K and Egenhofer M Modeling moving objects over multiple granularities. Special issue on Spatial and Temporal Granularity, Annals of Mathematics and Artificial Intelligence. Kluwer Academic Press. 36:177-194.

    Google Scholar 

  8. Langran G (1992) Time in geographical information systems. London: Taylor and Francis

    Google Scholar 

  9. Martinez M, Moreno M, Torres M and Levashkine S (2007) Adding topological semantic content to spatial databases, IF&GIS 2007, Springer-Verlag, St. Petersburg

    Google Scholar 

  10. McCarthy JM and Hayes PJ (1969) Some philosophical problems from the standpoint of artificial intelligence. In: Reading in Artificial Intelligence, pp 431–453, Tioga Publishing Co., Palo Alto, CA

    Google Scholar 

  11. Peuquet DJ (2001) Making space for time: Issues in space-time data representation. J GeoInformatica 5(1): 11–32

    Article  Google Scholar 

  12. Prior AN (1957) Time and Modality. Oxford: Clarendon Press

    Google Scholar 

  13. Raper J (2000) Multidimensional geographic information science. London and New York: Taylor and Francis

    Book  Google Scholar 

  14. Raubal M (2001) Human way finding in unfamiliar buildings: a simulation with a cognizing agent. J Cognitive Processing 2-3: 363–388

    Google Scholar 

  15. Worboys MF and Hornsby K (2004) From objects to events: GEM, the geospatial event model

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miguel Martinez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Martinez, M., Levachkine, S. (2009). Dynamic Models of Geographic Environment using Ontological Relations. In: Popovich, V.V., Claramunt, C., Schrenk, M., Korolenko, K.V. (eds) Information Fusion and Geographic Information Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00304-2_11

Download citation

Publish with us

Policies and ethics