@inproceedings{958f265361a54c8fbf91738385eef179,
title = "A Knowledge Management and Need-Capacity Matching Approach for Community-Based Disaster Management and Recovery",
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.",
keywords = "Disaster Recovery, Information and Ontology Modeling, Multi-Criteria Decision Making",
author = "Iv{\'a}n Palomares and Leo Galway and Martin Haran and Martijn Neef and Conor Woods and Hui Wang",
note = "The 10th International Conference on Intelligent Systems and Knowledge Engineering ; Conference date: 01-01-2015",
year = "2016",
month = jan,
day = "14",
doi = "10.1109/ISKE.2015.37",
language = "English",
series = "International Conference on Intelligent Systems and Knowledge Engineering (ISKE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "389--396",
booktitle = "2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE): Proceedings",
address = "United States",
}