Semantically enabling the SEMAT Project: Extending marine sensor networks for decision support and hypothesis testing

Myers, Trina S., Atkinson, Ian M. and Johnstone, Ron (2010). Semantically enabling the SEMAT Project: Extending marine sensor networks for decision support and hypothesis testing. In: Leonard Barolli, Fatos Xhafa, Salvatore Vitabile and Hui-Huang Hsu, Proceedings of the International Conference on Complex, Intelligent, and Software Intensive Systems. CISIS 2010, The Fourth International Conference on Complex, Intelligent and Software Intensive Systems, Krakow, Poland, (974-979). 15-18 February 2010. doi:10.1109/CISIS.2010.46


Author Myers, Trina S.
Atkinson, Ian M.
Johnstone, Ron
Title of paper Semantically enabling the SEMAT Project: Extending marine sensor networks for decision support and hypothesis testing
Conference name CISIS 2010, The Fourth International Conference on Complex, Intelligent and Software Intensive Systems
Conference location Krakow, Poland
Conference dates 15-18 February 2010
Proceedings title Proceedings of the International Conference on Complex, Intelligent, and Software Intensive Systems
Journal name CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems
Place of Publication Los Alamitos, Calif., U.S.A.
Publisher IEEE Computer Society
Publication Year 2010
Sub-type Fully published paper
DOI 10.1109/CISIS.2010.46
ISBN 9780769539676
Editor Leonard Barolli
Fatos Xhafa
Salvatore Vitabile
Hui-Huang Hsu
Start page 974
End page 979
Total pages 6
Collection year 2011
Language eng
Abstract/Summary The SEMAT project is a multi-institution/multi-discipline program developing advanced wireless sensor networks to collect, store, process and interpret data in coastal systems. The marine environment, specifically coral reefs within the Great Barrier Reef, is one of the initial deployments for a prototype SEMAT network. Wireless sensor networks are being deployed to extract environmental data for research into environmental issues such as climate change, water quality and ecosystem health. Remote monitoring networks in remote marine locations are logistically challenging. However, the interpretation of the complex multidimensional data generated is a problem of at least equal complexity. Application of the semantic tools and methods developed in the Semantic Reef project are being mapped onto the SEMAT use-cases with the goal to develop a data model capable of complex inference, as well as conventional data storage and analysis.
Subjects 0806 Information Systems
0907 Environmental Engineering
Keyword Ontology
Sensor networks
Semantic web
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes session: S2: Applications in Semantic Technologies and Ontologies Chapter: OnAV-2010 - Third International Workshop on Ontology Alignment and Visualization : Applications in Semantic Technologies and Ontologies

Document type: Conference Paper
Collections: Official 2011 Collection
Centre for Marine Studies Publications
 
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Created: Wed, 13 Oct 2010, 01:35:54 EST by Ms May Balasaize on behalf of Faculty of Science