Knowledge-Based Information Fusion for Improved Situational Awareness
Knowledge-Based Information Fusion for Improved Situational Awareness
This project, part of the UK MOD’s Data and Information Fusion initiative (http://www.difdtc.com), aims to investigate knowledge-based approaches to the problem of information fusion. We show how background domain-specific knowledge, in conjunction with semantic web services, can be used to improve situational awareness in the initiation, planning, coordination and operational deployment, of humanitarian operations, especially when such operations occur against a contextual backdrop of ongoing military conflict. Our approach is based on the exploitation of knowledge technologies developed as part of the Advanced Knowledge Technologies initiative (http://www.aktors.org). Information, harvested from a variety of physically disparate and semantically heterogeneous data sources, is interpreted with respect to formal ontological characterizations of the problem domain to establish a common repository of semantically-rich, conceptual-level representations of real-world events. Reasoning services, deployed over the knowledge repository, are used to intelligently fuse information, taking into account factors such as the level of trust and confidence assigned to specific information sources. Knowledge-rich contingencies that inhere in the target domain are also used to infer missing or incomplete information and form part of the knowledge backdrop to fusion-related activities. In addition to promoting increased situational awareness, we argue that knowledge-based approaches to the problem of information fusion can also facilitate ‘information triage’ by exploiting semantically-enriched characterizations of task contexts and operational roles. Selective attention to information of specific relevance to particular users helps avoid situations of information overload that might otherwise result from the information fusion process. We believe this approach to have general applicability in a wide variety of military contexts.
Smart, Paul R
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Shadbolt, Nigel R
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Carr, Leslie A
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schraefel, monica c
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2005
Smart, Paul R
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Shadbolt, Nigel R
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Carr, Leslie A
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schraefel, monica c
ac304659-1692-47f6-b892-15113b8c929f
Smart, Paul R, Shadbolt, Nigel R, Carr, Leslie A and schraefel, monica c
(2005)
Knowledge-Based Information Fusion for Improved Situational Awareness.
8th International Conference on Information Fusion, Philadelphia, United States.
25 - 29 Jul 2005.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This project, part of the UK MOD’s Data and Information Fusion initiative (http://www.difdtc.com), aims to investigate knowledge-based approaches to the problem of information fusion. We show how background domain-specific knowledge, in conjunction with semantic web services, can be used to improve situational awareness in the initiation, planning, coordination and operational deployment, of humanitarian operations, especially when such operations occur against a contextual backdrop of ongoing military conflict. Our approach is based on the exploitation of knowledge technologies developed as part of the Advanced Knowledge Technologies initiative (http://www.aktors.org). Information, harvested from a variety of physically disparate and semantically heterogeneous data sources, is interpreted with respect to formal ontological characterizations of the problem domain to establish a common repository of semantically-rich, conceptual-level representations of real-world events. Reasoning services, deployed over the knowledge repository, are used to intelligently fuse information, taking into account factors such as the level of trust and confidence assigned to specific information sources. Knowledge-rich contingencies that inhere in the target domain are also used to infer missing or incomplete information and form part of the knowledge backdrop to fusion-related activities. In addition to promoting increased situational awareness, we argue that knowledge-based approaches to the problem of information fusion can also facilitate ‘information triage’ by exploiting semantically-enriched characterizations of task contexts and operational roles. Selective attention to information of specific relevance to particular users helps avoid situations of information overload that might otherwise result from the information fusion process. We believe this approach to have general applicability in a wide variety of military contexts.
Text
Fusion_2005_Final_Draft.pdf
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Published date: 2005
Additional Information:
Event Dates: 25-29 July 2005
Venue - Dates:
8th International Conference on Information Fusion, Philadelphia, United States, 2005-07-25 - 2005-07-29
Organisations:
Web & Internet Science, Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 261065
URI: http://eprints.soton.ac.uk/id/eprint/261065
PURE UUID: fbdae6ae-aeda-4f90-a769-2e58cf0f645d
Catalogue record
Date deposited: 15 Jul 2005
Last modified: 15 Mar 2024 03:16
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Contributors
Author:
Paul R Smart
Author:
Nigel R Shadbolt
Author:
monica c schraefel
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