Potter, S.; Kalfoglou, Y.; Alani, H.; Bachler, M.; Buckingham Shum, S.; Carvalho, R.; Chakravarthy, A.; Chalmers, S.; Chapman, S.; Hu, B.; Preece, A.; Shadbolt, N.; Tate, A. and Tuffield, M.
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Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense- and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response
|Item Type:||Conference Item|
|Copyright Holders:||2007 The Authors|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Simon Buckingham Shum|
|Date Deposited:||03 Feb 2010 14:56|
|Last Modified:||23 Feb 2016 21:24|
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