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.
|Title of host publication||Unknown Host Publication|
|Number of pages||8|
|Publication status||Published - 2015|
|Event||The 10th International Conference on Intelligent Systems and Knowledge Engineering - Taipei, Taiwan|
Duration: 1 Jan 2015 → …
|Conference||The 10th International Conference on Intelligent Systems and Knowledge Engineering|
|Period||1/01/15 → …|
- Disaster Recovery
- Information and Ontology Modeling
- Multi-Criteria Decision Making
Palomares, I., Galway, L., Haran, M., Woods, C., & Wang, H. (2015). A Knowledge Management and Need-Capacity Matching Approach for Community-Based Disaster Management and Recovery. In Unknown Host Publication IEEE.