Modeling Environmental Process Using Semantic Geospatial Web Service

  • Shanzhen Yi
  • Bo Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4857)

Abstract

Environmental problems have been modeled and analyzed using GIS for long time, and they are often described by a set of interacting models from multiple disciplines. In this paper a composite process for environmental problem with multiple models is analyzed. A system dynamics modeling method, STELLA, is introduced to illustrate how to model the composite process with cause-effect relationships. Compared with other environmental modeling methods, environmental modeling supported by semantic geospatial Web service has the advantages of achieving interoperability and allowing real-time and online updating of the deployed models. A prototype system for Modeling Environmental Process using Semantic Geospatial Web Service, i.e. MEPSGWS, has been designed, which includes process ontology, rules for cause-effect relations, GML-based parameter type, Web service description language, and interoperable protocol. As an application of MEPSGWS, a watershed composite process is chosen to illustrate how to model a composite environmental process with semantic geospatial Web service.

Keywords

Semantic Web service Environmental system Process ontology Spatial modeling and simulation 

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References

  1. 1.
    Fotheringham, A.S.: GIS-based Spatial Modelling: A Step Forward or a Step Backwards. In: Fotheringham, A.S., Wegener, M., Masser, I., Salge, F. (eds.) Spatial Models and GIS, New Potential and New Models, pp. 21–30. Taylor & Francis, Abington (2000)Google Scholar
  2. 2.
    Rizzoli, A.E., Davis, J.R., Abel, D.J.: Model and data integration and re-use in environmental decision support systems. Decision Support Systems. 24, 127–144 (1998)CrossRefGoogle Scholar
  3. 3.
    Leavesley, G.H., Markstrom, S.L., Brewer, M.S., Viger, R.J.: The modular modeling system (MMS). In: The physical process modeling component of a database-centred decision support system for water and power management. Water, Air and Soil Pollution, vol. 90, pp. 303–311. Springer, Netherlands (1996)Google Scholar
  4. 4.
    Interactive Component Modelling System – ICMS, http://www.clw.csiro.au/products/icms/index.html
  5. 5.
    Maxwell, T., Costanza, R.: A language for modular spatio-temporal simulation. Ecological Modelling 103, 105–114 (1997)CrossRefGoogle Scholar
  6. 6.
    Brismar, A.: Attention to impact pathways in EISs of large dam projects. Environmental Impact Assessment Review 24, 59–87 (2004)CrossRefGoogle Scholar
  7. 7.
    Elshorbagy, A., Ormsbee, L.: Object-oriented modeling approach to surface water quality management. Environmental Modeling & Software 21, 689–698 (2006)CrossRefGoogle Scholar
  8. 8.
    Shi, T., Gill, R.: Developing effective policies for the sustainable development of ecological agriculture in China: the case study of Jinshan County with a systems dynamics model. Ecological Economics 53, 223–246 (2005)CrossRefGoogle Scholar
  9. 9.
    Voinov, A., Fitz, C., Bounmans, R., Costanza, R.: Modular ecosystem modeling. Environmental Modeling & Software 19, 285–304 (2004)CrossRefGoogle Scholar
  10. 10.
    Worboys, M.: Event-oriented approaches to geographic phenomena. International Journal of Geographical Information Science 19, 1–29 (2005)CrossRefGoogle Scholar
  11. 11.
    The OWL Services Coalition, OWL-S: Semantic Markup for Web Services, W3C Member Submission (November 22, 2004), http://www.w3.org/Submission/2004/SUBM-OWL-S-20041122/
  12. 12.
    Maluszyński, J.: On integrating rules into the Semantic Web. Electronic Notes in Theoretical Computer Science 86, 1–11 (2003)CrossRefGoogle Scholar
  13. 13.
    Cox, S., Daisey, P., Lake, R., Portele, C., Whiteside, A.: Geography Markup Language Version 3.0 OGC Document, Number 02-023r4 (2002), http://www.opengeospatial.org/specs/
  14. 14.
    OWL-S: Semantic Markup for Web Services, W3C Member Submission (November 22, 2004), http://www.w3.org/Submission/OWL-S/
  15. 15.
    Horrocks, I., Patel-Schneider, P.F., Bechhofer, S., Tsarkov, D.: OWL rules: A proposal and prototype implementation. Journal of Web Semantics 3, 23–40 (2005)Google Scholar
  16. 16.
    Mei, J., Boley, H.: Interpreting SWRL Rules in RDF Graphs. Electronic Notes in Theoretical Computer Science 151, 53–69 (2006)CrossRefGoogle Scholar
  17. 17.
    Christensen, E., Curbera, F., Meredith, G., Weerawarana, S.: Web Services Description Language (WSDL) 1.1 (2001), http://www.w3.org/TR/2001/NOTE-wsdl-20010315
  18. 18.
    Maxwell, T., Voinov, A., Costanza, R.: Spatial Simulation Using the SME. In: Costanza, R., Voinov, A. (eds.) Landscape Simulation Modeling, A Spatially Explicit, Dynamic Approach, pp. 21–42. Springer, New York (2004)Google Scholar
  19. 19.
    Yi, S.Z., Xing, C.X., Liu, Q.L., Zhang, Y., Zhou, L.Z.: Semantic and interoperable WebGIS. In: The 2nd IEEE International Conference on Web Information Systems Engineering, Kyoto, Japan, pp. 42–47 (December 3, 2001)Google Scholar
  20. 20.
    Docine, L., Andrieu, H., Creutin, J.D.: Evaluation of a simplified dynamical rainfall forecasting model from rain events simulated using a meteorological model. Phys. Chem. Earth (B) 24, 883–997 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Shanzhen Yi
    • 1
  • Bo Huang
    • 2
  1. 1.Centre of Information Engineering and SimulationHuazhong University of Science and TechnologyWuhanChina
  2. 2.Dept of Geography and Resource ManagementThe Chinese University of Hong Kong Shatin, NTHong Kong

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