Ontology for disaster mitigation and planning
Authors: 
Hemant Joshi, Remzi Seker, Coskun Bayrak, Srini Ramaswamy, Jeffrey B. ConnellyAuthors Info & Claims
Article No.: 26, Pages 1 - 8
Abstract
Disasters can cause extensive damage either directly in terms of human life or indirectly by disrupting the life preserving services provided by societal infrastructures. The study of disaster mitigation is multi faceted in its nature and its range of impact and hence requires a multi-disciplinary approach. Better simulation tools can lead to well-defined plans that are based on more accurate anticipation of, and assistance in preparedness for, such disasters. In this paper, we propose an ontology-based approach for disaster mitigation using Web Ontology Language (OWL) [1]. The proposed approach is envisioned to allow for the seamless integration and management of heterogeneous, multi-lateral data from different local, state as well as federal agencies. Ontologies have been successfully used for various semantic applications in critical environments. In this paper, we explain the rationale behind using ontologies for disaster mitigation and demonstrate its capabilities and pitfalls in a simulated situation using the proposed Disaster Mitigation and Modeling (DMM) approach.
References
[1]
W3C Recommendation, 2004, OWL Web Ontology Language Reference, at http://www.w3.org/TR/owl-ref/
[2]
C. V. Ramamoorthy and R. Seker, Infrastructures for Information Technology Systems: Perspectives on Their Evolution and Impact, Lecture Notes in Computer Science, Volume 3647, Feb 2006, Pages 214--228.
[3]
C. V. Ramamoorthy and R. Seker, Disaster Engineering, 22 nd International System Safety Conference (ISSC 2004), August 2--6, 2004, Providence, Rhode Island.
[4]
C. V. Ramamoorthy and R. Seker, Infrastructures for Information Technology Systems, IEEE International Conference on Systems, Man, and Cybernetics, October 10--12, Big Island, Hawaii, 2005.
[5]
H. Kunreuther, The Role of Catastrophe Modeling for Estimating Risks, Natural Hazards Observer, Vol. 30, No. 1, September 2005: http://www.colorado.edu/hazards/o/sept05/sept05d.html
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D. Mileti, Disasters by Design: A Reassessment of Natural Hazards in the United States Washington, DC: Joseph Henry Press, 1999.
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NSF Press Release, September 15, 2005: http://www.nsf.gov/news/news_summ.jsp?cntn_id=104428
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W3C Recommendation, RDF Vocabulary Description Language 1.0:RDF Schema, at http://www.w3.org/TR/rdfschema/
[9]
I. Horrocks, D. Fensel, J. Broekstra, S. Decker, M. Erdmann, C. Goble, F. van Harmelen, M. Klein, S. Staab, R. Studer, and E. Motta, The Ontology Inference Layer OIL, Technical paper on line at http://www.ontoknowledge.org/oil/TR/oil.long.html
[10]
W3C Recommendation, 2004, The Structure of Ontologies, at http://www.w3.org/TR/2004/REC-owl-guide-20040210/#StructureOfOntologies
[11]
M. Klein and D. Fensel. Ontology versioning for the Semantic Web. In Proceedings of the International Semantic Web Working Symposium (SWWS), Stanford University, California, USA, July 30 - Aug. 1, 2001. http://citeseer.ist.psu.edu/klein01ontology.html
[12]
Heflin, J., and Hendler, J. 2000. Dynamic Ontologies on the Web. In Proceedings of American Association for Artificial Intelligence Conference (AAAI-2000). Menlo Park, Calif.: AAAI Press. http://citeseer.ist.psu.edu/heflin00dynamic.html
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Published: 16 July 2007
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