Copy the page URI to the clipboard
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).
URL: http://www.iscram.org/index.php?option=content&tas...
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
Viewing alternatives
Download history
Item Actions
Export
About
- Item ORO ID
- 19858
- Item Type
- Conference or Workshop Item
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2007 The Authors
- Depositing User
- Simon Buckingham Shum