Knowledge-Intensive Fusion for Situational Awareness: Band Sultan Dam Failure Scenario

Abstract

This report provides a detailed specification of a humanitarian relief scenario involving significant civil-military cooperation. The scenario aims to highlight some challenges and opportunities for semantic integration and knowledge processing in support of humanitarian relief efforts undertaken against a backdrop of military conflict. The scenario depicts an earthquake and associated flood event occurring in Afghanistan at the time of the US-led coalition effort to displace the former Taliban regime. The flood event occurs as a secondary phenomenon to the earthquake and precipitates a full-scale humanitarian relief effort co-opting the resources of both humanitarian and military agencies. This scenario will serve to showcase the capabilities of the AKTiveSA TDS with respect to enhanced situation awareness and improved information fusion. Such capabilities depend on the ability to exploit multiple sources of information and sophisticated query capabilities in order to expedite the dissemination of relevant information to executive agencies in a timely and appropriate fashion. The scenario narrative draws attention to some of the information requirements demanded by military and humanitarian decision makers in the context of complex emergency situations. It also serves to illustrate the critical knowledge processing capabilities of agents with respect to the assessment of disaster situations and relief effort planning. Finally, the scenario provides an indication of the requirements for visualization and interaction that should be afforded to end-user agents in order to optimise their exploitation of system capabilities. This report also provides background information about the Standard Operating Procedures (SOPs) of humanitarian agencies with respect to disaster relief and reviews guidelines on the nature of civil-military coordination in the context of disaster relief efforts in conflict situations.

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ORCID for Paul R. Smart: orcid.org/0000-0001-9989-5307

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