Rule-Based Intelligence on the Semantic Web: Implications for Military Capabilities
Rule-Based Intelligence on the Semantic Web: Implications for Military Capabilities
Rules are a key element of the Semantic Web vision, promising to provide a foundation for reasoning capabilities that underpin the intelligent manipulation and exploitation of information content. Although ontologies provide the basis for some forms of reasoning, it is unlikely that ontologies, by themselves, will support the range of knowledge-based services that are likely to be required on the Semantic Web. As such, it is important to consider the contribution that rule-based systems can make to the realization of advanced machine intelligence on the Semantic Web. This report aims to review the current state-of-the-art with respect to semantic rule-based technologies. It provides an overview of the rules, rule languages and rule engines that are currently available to support ontology-based reasoning, and it discusses some of the limitations of these technologies in terms of their inability to cope with uncertain or imprecise data and their poor performance in some reasoning contexts. This report also describes the contribution of reasoning systems to military capabilities, and suggests that current technological shortcomings pose a significant barrier to the widespread adoption of reasoning systems within the defence community. Some solutions to these shortcomings are presented and a timescale for technology adoption within the military domain is proposed. It is suggested that application areas such as semantic integration, semantic interoperability, data fusion and situation awareness provide the best opportunities for technology adoption within the 2015 timeframe. Other capabilities, such as decision support and the emulation of human-style reasoning capabilities are seen to depend on the resolution of significant challenges that may hinder attempts at technology adoption and exploitation within the 2020 timeframe.
semantic web, ontologies, reasoning, decision support, rule languages, military
Smart, Paul R
cd8a3dbf-d963-4009-80fb-76ecc93579df
Smart, Paul R
cd8a3dbf-d963-4009-80fb-76ecc93579df
Smart, Paul R
(2007)
Rule-Based Intelligence on the Semantic Web: Implications for Military Capabilities
(In Press)
Record type:
Monograph
(Project Report)
Abstract
Rules are a key element of the Semantic Web vision, promising to provide a foundation for reasoning capabilities that underpin the intelligent manipulation and exploitation of information content. Although ontologies provide the basis for some forms of reasoning, it is unlikely that ontologies, by themselves, will support the range of knowledge-based services that are likely to be required on the Semantic Web. As such, it is important to consider the contribution that rule-based systems can make to the realization of advanced machine intelligence on the Semantic Web. This report aims to review the current state-of-the-art with respect to semantic rule-based technologies. It provides an overview of the rules, rule languages and rule engines that are currently available to support ontology-based reasoning, and it discusses some of the limitations of these technologies in terms of their inability to cope with uncertain or imprecise data and their poor performance in some reasoning contexts. This report also describes the contribution of reasoning systems to military capabilities, and suggests that current technological shortcomings pose a significant barrier to the widespread adoption of reasoning systems within the defence community. Some solutions to these shortcomings are presented and a timescale for technology adoption within the military domain is proposed. It is suggested that application areas such as semantic integration, semantic interoperability, data fusion and situation awareness provide the best opportunities for technology adoption within the 2015 timeframe. Other capabilities, such as decision support and the emulation of human-style reasoning capabilities are seen to depend on the resolution of significant challenges that may hinder attempts at technology adoption and exploitation within the 2020 timeframe.
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Rule-Based_Intelligence_on_the_Semantic_Webv7.pdf
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Accepted/In Press date: 26 November 2007
Additional Information:
ALL RECIPIENTS OF THIS REPORT ARE ADVISED THAT IT MUST NOT BE COPIED IN WHOLE OR IN PART OR BE GIVEN FURTHER DISTRIBUTION WITHOUT THE PRIOR WRITTEN CONSENT OF THE REPORT AUTHOR (DR PAUL SMART).
Keywords:
semantic web, ontologies, reasoning, decision support, rule languages, military
Organisations:
Web & Internet Science
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Local EPrints ID: 264912
URI: http://eprints.soton.ac.uk/id/eprint/264912
PURE UUID: dd4b1f2f-cea5-41bf-a18d-f07cd70e83ad
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Date deposited: 02 Dec 2007 20:56
Last modified: 15 Mar 2024 03:15
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Author:
Paul R Smart
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