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An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans

An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans

Lila Rao, Maurice McNaughton, Kweku-Muata Osei-Bryson, Manley Haye
Copyright: © 2010 |Volume: 2 |Issue: 2 |Pages: 19
ISSN: 1937-9390|EISSN: 1937-9420|EISBN13: 9781609604127|DOI: 10.4018/jiscrm.2010040103
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MLA

Rao, Lila, et al. "An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans." IJISCRAM vol.2, no.2 2010: pp.35-53. http://doi.org/10.4018/jiscrm.2010040103

APA

Rao, L., McNaughton, M., Osei-Bryson, K., & Haye, M. (2010). An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), 2(2), 35-53. http://doi.org/10.4018/jiscrm.2010040103

Chicago

Rao, Lila, et al. "An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans," International Journal of Information Systems for Crisis Response and Management (IJISCRAM) 2, no.2: 35-53. http://doi.org/10.4018/jiscrm.2010040103

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Abstract

Disasters have the potential to cripple a country and those countries that are particularly susceptible to disasters must have effective disaster recovery plans (DRP) in place to ensure that the country can return to normalcy as soon as possible after the devastation. However, for the plan to be effective it must be of high quality, which is often viewed as a multidimensional concept containing essential factors for DRP, such as consistency, completeness, reliability and feasibility. Therefore, any methodology for the development of DRP must take these dimensions into account as their affect on quality is considerable. In this regard, the authors describe a quality based methodology for the development of DRP, including a methodology that makes use of ontologies containing properties that are suited to the development of these high quality plans. The applicability of the proposed methodology will be demonstrated through a case study of an electric utility company in Jamaica.

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