Supporting dynamic hypothesis modelling and alerts in marine environments
Myers, Trina, Trevathan, Jarrod, and Johnstone, Ron (2012) Supporting dynamic hypothesis modelling and alerts in marine environments. Coast to Coast 2012: living on the edge: program and abstract book. Coast to Coast 2012: Living on the Edge , 17-21 September 2012, Brisbane, QLD, Australia , p. 81.
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Linking data and data fusion are important processes in knowledge discovery in all areas of research. However, there are massive amounts of scientific data being produced that cannot be effectively processed to its full potential. Sensed data is prolific and growing, so improvements in the data fusion and data analysis phase of research are becoming increasingly necessary. We describe the integration of remotely sensed data from the Smart Environmental Monitoring and Analysis Technologies (SEMAT) initiative with static data available from the Tropical Data Hub (TDH) for use in hypothesis testing in the Semantic Reef system. SEMAT is developing new sensor network technologies and processing methodologies for environmental applications. The TDH is an open data collaborative model where the data and metadata is exposed for discovery and publication. Data from the TDH is available for integration with other datasets such as live data streams from SEMAT for multi-disciplinary hypotheses. The Semantic Reef system combines semantic technologies such as well-defined ontologies and logic systems with scientific workflows to enable dynamic hypothesis-based research on environmental sustainability and/or alerts to phenomena such as algal blooms and coral bleaching. Data is collated from various sources and integrated within one knowledge-base to infer outcomes from observational hypotheses. The semantic knowledge base allows for dynamic hypothesis modelling as the lines of enquiry dictate. The data that is collected via SEMAT and used to infer knowledge by the Semantic Reef system, such as an inferred causal factor of coral bleaching and the ensuing observation and outcome of that proposition, can be ingested to the TDH for data discovery, reuse, curation and publication.
|Item Type:||Conference Item (Presentation)|
|Keywords:||semantic technologies, wireless sensor networks, data integration|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 60%|
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080608 Information Systems Development Methodologies @ 40%
|SEO Codes:||96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments @ 100%|
|Deposited On:||29 Aug 2012 15:29|
|Last Modified:||21 May 2013 11:56|
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