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Design and Implementation of GeoBrain Online Analysis System (GeOnAS)

  • Conference paper
Web and Wireless Geographical Information Systems (W2GIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5373))

Abstract

GeOnAS is an extensible, scalable and powerful online geospatial analysis system based on Service Oriented Architecture (SOA), and is designed and implemented with the complementary technologies, Asynchronous JavaScript and XML (Ajax) and Web services, which greatly increase the interactive capabilities of graphical user interfaces and improve the user experience. It provides a highly interoperable way of accessing Open Geospatial Consortium (OGC) compliant web services for geospatial data discovery, retrieval, visualization and analysis, and leverages web service standards to enable service discovery, selection, negotiation and invocation for making more informed decisions.

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References

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Author information

Authors and Affiliations

  1. Center for Spatial Information Science and System, George Mason University, 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, USA

    Weiguo Han, Liping Di, Peisheng Zhao, Yaxing Wei & Xiaoyan Li

Authors
  1. Weiguo Han
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  2. Liping Di
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  3. Peisheng Zhao
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  4. Yaxing Wei
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  5. Xiaoyan Li
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Editor information

Editors and Affiliations

  1. University College Dublin, Ireland

    Michela Bertolotto

  2. Naval Academy Research Institute, Brest Naval, France

    Cyril Ray

  3. Department of Geography, East China Normal University, Shanghai, China

    Xiang Li

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© 2008 Springer-Verlag Berlin Heidelberg

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Han, W., Di, L., Zhao, P., Wei, Y., Li, X. (2008). Design and Implementation of GeoBrain Online Analysis System (GeOnAS). In: Bertolotto, M., Ray, C., Li, X. (eds) Web and Wireless Geographical Information Systems. W2GIS 2008. Lecture Notes in Computer Science, vol 5373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89903-7_4

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  • DOI: https://doi.org/10.1007/978-3-540-89903-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89902-0

  • Online ISBN: 978-3-540-89903-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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