dc.contributor.author |
Moodley, D
|
|
dc.contributor.author |
Simonis, I
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|
dc.contributor.author |
Tapamo, JR
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|
dc.date.accessioned |
2012-12-04T06:43:03Z |
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dc.date.available |
2012-12-04T06:43:03Z |
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dc.date.issued |
2012-03 |
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dc.identifier.citation |
Moodley, D, Simonis, I, and Tapamo, JR. 2012. An architecture for managing knowledge and system dynamism in the worldwide sensor web. International Journal on Semantic Web and Information Systems, Vol. 8(1), pp 64-88 |
en_US |
dc.identifier.issn |
1552-6283 |
|
dc.identifier.issn |
1552-6291 |
|
dc.identifier.uri |
http://www.igi-global.com/article/architecture-managing-knowledge-system-dynamism/70587
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|
dc.identifier.uri |
http://hdl.handle.net/10204/6392
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|
dc.description |
Copyright: 2012 IGI Global. This is an ABSTRACT ONLY. The definitive version is published in the International Journal on Semantic Web and Information Systems, Vol 8(1), pp 64-88 |
en_US |
dc.description.abstract |
Sensor Web researchers are currently investigating middleware to aid in the dynamic discovery, integration and analysis of vast quantities of both high and low quality, but distributed and heterogeneous earth observation data. Key challenges being investigated include dynamic data integration and analysis, service discovery and semantic interoperability. However, few efforts deal with managing knowledge and system dynamism. Two emerging technologies that have shown promise in dealing with these issues are ontologies and software agents. This paper presents an integrated ontology driven agent based Sensor Web architecture for managing knowledge and system dynamism. An application case study on wildfire detection is used to illustrate the operation of the architecture. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IGI Global |
en_US |
dc.relation.ispartofseries |
Workflow;9859 |
|
dc.subject |
Bayesian network |
en_US |
dc.subject |
Conceptual data modeling |
en_US |
dc.subject |
Multi-Agent systems |
en_US |
dc.subject |
Ontology engineering |
en_US |
dc.subject |
Semantic middleware |
en_US |
dc.subject |
Sensor web |
en_US |
dc.title |
An architecture for managing knowledge and system dynamism in the worldwide sensor web |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Moodley, D., Simonis, I., & Tapamo, J. (2012). An architecture for managing knowledge and system dynamism in the worldwide sensor web. http://hdl.handle.net/10204/6392 |
en_ZA |
dc.identifier.chicagocitation |
Moodley, D, I Simonis, and JR Tapamo "An architecture for managing knowledge and system dynamism in the worldwide sensor web." (2012) http://hdl.handle.net/10204/6392 |
en_ZA |
dc.identifier.vancouvercitation |
Moodley D, Simonis I, Tapamo J. An architecture for managing knowledge and system dynamism in the worldwide sensor web. 2012; http://hdl.handle.net/10204/6392. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Moodley, D
AU - Simonis, I
AU - Tapamo, JR
AB - Sensor Web researchers are currently investigating middleware to aid in the dynamic discovery, integration and analysis of vast quantities of both high and low quality, but distributed and heterogeneous earth observation data. Key challenges being investigated include dynamic data integration and analysis, service discovery and semantic interoperability. However, few efforts deal with managing knowledge and system dynamism. Two emerging technologies that have shown promise in dealing with these issues are ontologies and software agents. This paper presents an integrated ontology driven agent based Sensor Web architecture for managing knowledge and system dynamism. An application case study on wildfire detection is used to illustrate the operation of the architecture.
DA - 2012-03
DB - ResearchSpace
DP - CSIR
KW - Bayesian network
KW - Conceptual data modeling
KW - Multi-Agent systems
KW - Ontology engineering
KW - Semantic middleware
KW - Sensor web
LK - https://researchspace.csir.co.za
PY - 2012
SM - 1552-6283
SM - 1552-6291
T1 - An architecture for managing knowledge and system dynamism in the worldwide sensor web
TI - An architecture for managing knowledge and system dynamism in the worldwide sensor web
UR - http://hdl.handle.net/10204/6392
ER -
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en_ZA |