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Supporting Disaster Management with Real-Time-CPAR Platform

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Advances in Conceptual Modeling (ER 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8697))

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Abstract

Disaster management requires that various geospatial data producers and users collaborate in an ad hoc manner, despite their different backgrounds and contexts. While semantic interoperability is meant to support meaningful sharing of geospatial data, semantic interoperability approaches that were designed for static and closed environments, or that do not address the particularities of geospatial data, are not suitable for supporting disaster management. In this paper, we present the Real-Time-CPAR prototype for enabling real time semantic interoperability in ad hoc network of geospatial databases that can answer the needs of disaster management. The prototype comprises four main services for discovering coalitions of geospatial databases; semantic enrichment; semantic reconciliation of heterogeneous databases and propagation of geospatial queries. We demonstrate how this tool can contribute to disaster management.

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Author information

Authors and Affiliations

  1. Institute of GIScience, Heidelberg University, Heidelberg, Germany

    Mohamed Bakillah

  2. Department of Geomatics Engineering, University of Calgary, Alberta, Canada

    Mohamed Bakillah & Steve H. L. Liang

Authors
  1. Mohamed Bakillah
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  2. Steve H. L. Liang
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Editor information

Editors and Affiliations

  1. Faculty of Business Administration, Memorial University of Newfoundland, A1B 3X5, St. John’s, NL, Canada

    Jeffrey Parsons

  2. Faculty of Education, Division of Information and Technology Studies, The University of Hong Kong, Hong Kong, China

    Dickson Chiu

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Bakillah, M., Liang, S.H.L. (2014). Supporting Disaster Management with Real-Time-CPAR Platform. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-14139-8_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14138-1

  • Online ISBN: 978-3-319-14139-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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