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Ontological Modeling of Community Resilience: Enhancing Disaster Preparedness

Explore how an ontological model can structure and organize knowledge on community resilience, aiding in effective disaster interventions.

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Ontological Modeling of Community Resilience: Enhancing Disaster Preparedness

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  1. Can Knowledge about Community Resilience be Organized by Means of Ontological Modeling? Sarah Newell Wojtek Michalowski DavoodAstaraky Telfer School of Management Tracey O’Sullivan Interdisciplinary School of Health Sciences • University of Ottawa

  2. Outline • Background • Research Hypothesis • Method • Ontology Study Method • Visualizing the Ontology • Expected Results • Conclusions/Implications

  3. Background • Community Resilience: the ability to resist, absorb, and recover from a disturbance.1 • Many different research approaches have led to a lack of agreement about which are the key elements to focus on when developing interventions. 1 – Norris et al, 2008

  4. Research Hypothesis • Systematic representation of the knowledge about community resilience to a disaster will highlight the interdependence of components so their roles can be better understood.

  5. Method • The ontology engineering will: • Provide structure • Organize the elements • Tailor to unique community needs

  6. Ontology • Structured way of representing knowledge • Concepts and the relationships between them • Study design process

  7. Knowledge Extraction Method • Modified from PICO method1 used by Cochrane Review2 • Adapted for our purposes to include • Concepts, Abstraction Level, Properties (CAP Method) 1 - Higgins & Green, 2011 ; 2 - Cochrane Collaboration, 2013

  8. Knowledge Extraction • Review each paragraph individually • Describing content of literature • Community Resilience to a Disaster • Case study or too specific • Describing relationship between concepts

  9. Developing the Ontology of Community Resilience • Identify key concepts/elements • Define each term or concept • Identify shared characteristics to form hierarchy • Identify appropriate superconcepts and subconcepts based on these characteristics • Develop relationships between hierarchies

  10. Ontology Visualized

  11. Conclusions/Implications • This ontology is a way of representing the current knowledge. • Future research can benefit from identifying gaps that exist in the ontology. • Design of interventions can benefit from having knowledge represented in a systematic manner.

  12. Can Knowledge about Community Resilience be Organized by Means of Ontological Modeling? THANK YOU Contact Information: Sarah Newell University of Ottawa snewe094@uottawa.com www.telfer.uOttawa.ca

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