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An architecture for managing knowledge and system dynamism in the worldwide sensor web

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dc.contributor.author Moodley, D
dc.contributor.author Simonis, I
dc.contributor.author Tapamo, JR
dc.date.accessioned 2012-12-04T06:43:03Z
dc.date.available 2012-12-04T06:43:03Z
dc.date.issued 2012-03
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
dc.identifier.uri http://hdl.handle.net/10204/6392
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 - en_ZA


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