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Title: The Application of Advanced Knowledge Technologies for Emergency Reponse
Authors: Potter, S
Kalfoglou, Y
Alani, H
Bachler, M
Buckingham Shum, S J
Carvalho, R
Chakravarthy, A
Chalmers, S
Chapman, S
Hu, B
Preece, A
Shadbolt, N
Tate, Austin
Tuffield, M
Issue Date: May-2007
Citation: 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. (2007) The Application of Advanced Knowledge Technologies for Emergency Response, Proceedings of the 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2007), B. Van de Walle, P. Burghardt and C. Nieuwenhuis (eds.), Delft, the Netherlands, May 2007.
Publisher: VUBPRESS
Series/Report no.: Informatics Report Series
EDI-INF-RR-1000
Abstract: 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.
Description: The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.
Sponsor(s): UK EPSRC
Keywords: computer science
Informatics
emergency response
intelligent messaging
sense-making
decision support
semantic technologies
Artificial Intelligence Applications Institute
URI: http://www.aiai.ed.ac.uk/project/ix/documents/2007/2007-iscram-akt-e-response.pdf
http://hdl.handle.net/1842/2167
ISBN: 9789054874171
Appears in Collections:Informatics Report Series

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