Knowledge management for the support of logistics during Humanitarian Assistance and Disaster Relief (HADR)

Knowledge Management can be essential for handling disaster information, creating knowledge bases that can cover very complex events and can vary in size and type. The challenge is to establish mechanisms for the correlation of data coming from various sources to support the Humanitarian Assistance and Disaster Relief (HADR). We propose a method for multi-source information correlation using an approach based on the sudoku principles to determine which record pairs have to be considered, for comparison. This paper presents a system which can aid in early warning and provide decision support for disaster response and recovery management through the integration of heterogeneous data sources form different organizations.