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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/6392

Title: An architecture for managing knowledge and system dynamism in the worldwide sensor web
Authors: Moodley, D
Simonis, I
Tapamo, JR
Keywords: Bayesian network
Conceptual data modeling
Multi-Agent systems
Ontology engineering
Semantic middleware
Sensor web
Issue Date: Mar-2012
Publisher: IGI Global
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
Series/Report no.: Workflow;9859
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.
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
URI: http://www.igi-global.com/article/architecture-managing-knowledge-system-dynamism/70587
http://hdl.handle.net/10204/6392
ISSN: 1552-6283
1552-6291
Appears in Collections:Digital intelligence
General science, engineering & technology

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