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AKTiveSA: A Technical Demonstrator System for Enhanced Situation Awareness

AKTiveSA: A Technical Demonstrator System for Enhanced Situation Awareness
AKTiveSA: A Technical Demonstrator System for Enhanced Situation Awareness
The issue of improved situation awareness is a key concern for military agencies, promising to deliver strategic advantages in a variety of conflict and non-conflict scenarios. Improved situation awareness can benefit operational effectiveness by facilitating the planning process, improving the quality and timeliness of decisions, and providing better feedback regarding the strategic consequences of military actions. In this paper, we aim to show how a combination of semantic technologies and user interface design initiatives can be used to improve situation awareness in a simulated humanitarian relief scenario. We describe the development of a technical demonstrator system, the AKTiveSA TDS, which integrates a variety of knowledge technologies and visualization components within the context of a unitary application framework. We also describe our approach to scenario development, knowledge acquisition, ontology engineering, and system design. Some specific problems encountered during system development are discussed, e.g. the performance overheads associated with rules-based processing, and potential solution strategies for these problems are presented alongside a description of future development activities.
Situation Awareness, Information Fusion, Humanitarian Relief, Ontologies, Semantic Web
703-716
Smart, Paul R
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Russell, Alistair
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Shadbolt, Nigel R
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schraefel, monica c
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Carr, Leslie A
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Smart, Paul R
cd8a3dbf-d963-4009-80fb-76ecc93579df
Russell, Alistair
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Shadbolt, Nigel R
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schraefel, monica c
ac304659-1692-47f6-b892-15113b8c929f
Carr, Leslie A
0572b10e-039d-46c6-bf05-57cce71d3936

Smart, Paul R, Russell, Alistair, Shadbolt, Nigel R, schraefel, monica c and Carr, Leslie A (2007) AKTiveSA: A Technical Demonstrator System for Enhanced Situation Awareness. The Computer Journal, 50 (6), 703-716.

Record type: Article

Abstract

The issue of improved situation awareness is a key concern for military agencies, promising to deliver strategic advantages in a variety of conflict and non-conflict scenarios. Improved situation awareness can benefit operational effectiveness by facilitating the planning process, improving the quality and timeliness of decisions, and providing better feedback regarding the strategic consequences of military actions. In this paper, we aim to show how a combination of semantic technologies and user interface design initiatives can be used to improve situation awareness in a simulated humanitarian relief scenario. We describe the development of a technical demonstrator system, the AKTiveSA TDS, which integrates a variety of knowledge technologies and visualization components within the context of a unitary application framework. We also describe our approach to scenario development, knowledge acquisition, ontology engineering, and system design. Some specific problems encountered during system development are discussed, e.g. the performance overheads associated with rules-based processing, and potential solution strategies for these problems are presented alongside a description of future development activities.

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More information

Published date: October 2007
Keywords: Situation Awareness, Information Fusion, Humanitarian Relief, Ontologies, Semantic Web
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 264352
URI: http://eprints.soton.ac.uk/id/eprint/264352
PURE UUID: 47693fc3-08b2-45d3-be47-b76559917444
ORCID for Paul R Smart: ORCID iD orcid.org/0000-0001-9989-5307
ORCID for monica c schraefel: ORCID iD orcid.org/0000-0002-9061-7957
ORCID for Leslie A Carr: ORCID iD orcid.org/0000-0002-2113-9680

Catalogue record

Date deposited: 27 Jul 2007
Last modified: 15 Mar 2024 03:16

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Contributors

Author: Paul R Smart ORCID iD
Author: Alistair Russell
Author: Nigel R Shadbolt
Author: monica c schraefel ORCID iD
Author: Leslie A Carr ORCID iD

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