Abstract
Post-crisis response and recovery necessitates the identification and prioritization of the needs and capacities of the affected community in order to provide efficient and well- coordinated humanitarian assistance. The Community Based Comprehensive Recovery platform aims to facilitate enhanced communication flows between professional communities, af- fected communities, and volunteer responders to enhance situational awareness, inform and guide response planning, and ensure more effective coordination of activities by volunteer responders. Underpinning the platform, an information frame- work has been designed to support acquisition and analysis of the needs and capacities that arise across affected communities. In addition, a multi-criteria decision making algorithm has been designed and developed in order to enhance sense making and situational awareness within the platform. Subsequently, this paper introduces the core concepts that provide a basis for the information model, along with the associated ontology. Furthermore, the paper presents details of the decision making algorithm in conjunction with results from its application to a representative set of sample data.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Number of pages | 8 |
| Publication status | Published (in print/issue) - 2015 |
| Event | The 10th International Conference on Intelligent Systems and Knowledge Engineering - Taipei, Taiwan Duration: 1 Jan 2015 → … |
Conference
| Conference | The 10th International Conference on Intelligent Systems and Knowledge Engineering |
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| Period | 1/01/15 → … |
Keywords
- Disaster Recovery
- Information and Ontology Modeling
- Multi-Criteria Decision Making
