Skip to main content
SpringerLink
Log in

Metamodelling Approach towards a Disaster Management Decision Support System

  • Conference paper
Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

Included in the following conference series:

Abstract

Expertise in disaster management (DM) is scarce and often unavailable in a timely manner. Moreover, it is not timely shared as it is often perceived as too tied to kinds of events (floods, bushfires, tsunamis, pandemic or earthquake), leading to catastrophic consequences. In this paper, we lay out a framework to create a decision support system to unify, facilitate and expedite access to DM expertise. We observe that many DM activities are actually common even when the events vary. We provide ontology as a metamodel to describe the various DM activities and desired outcomes. This ontology will serve as a representational layer of DM expertise leading to a DM decision support system based on combining and matching different DM activities according to the disaster on hand.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Beydoun, G., Low, G., Mouraditis, H., Henderson-Sellers, B.: A Security-Aware Metamodel For Multi-Agent Systems. Information and Software Technology 51, 832–845 (2008)

    Article  Google Scholar 

  2. Beydoun, G., Low, G., Henderson-Sellers, B., Mouraditis, H., Sanz, J.J.G., Pavon, J., Gonzales-Perez, C.: FAML: A Generic Metamodel for MAS Development. IEEE Transactions on Software Engineering 35, 841–863 (2009)

    Article  Google Scholar 

  3. Benaben, F., Hanachi, C., Lauras, M., Couget, P., Chapurlat, V.: A Metamodel and its Ontology to Guide Crisis Characterization and its Collaborative Management. In: Proceedings of the 5th International ISCRAM Conference, Washington, USA, pp. 189–196 (2008)

    Google Scholar 

  4. Asghar, S., Alahakoon, D., Churilov, L.: A Comprehensive Conceptual Model for Disaster Management. Journal of Humanitarian Assistance (2006)

    Google Scholar 

  5. Kruchten, P., Monu, C.W.K., Sotoodeh, M.: A Conceptual Model of Disasters Encompassing Multiple Stakeholder Domains. International Journal of Emergency Management 5, 25–56 (2008)

    Article  Google Scholar 

  6. W3C Incubator Group: Emergency Information Interoperability Frameworks, Technical report (2008)

    Google Scholar 

  7. Kelly, C.: Simplifying Disasters: Developing a Model For Complex Non-Linear Events Disaster Management. In: Australasia and the Pacific Region Conference, Cairns, Queensland (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Systems and Technology, Faculty of Informatics, University of Wollongong, Wollongong, NSW 2522, Australia

    Siti Hajar Othman & Ghassan Beydoun

Authors
  1. Siti Hajar Othman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ghassan Beydoun
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Othman, S.H., Beydoun, G. (2010). Metamodelling Approach towards a Disaster Management Decision Support System. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_75

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13232-2_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation