Semantic support for hypothesis-based research from smart environment monitoring and analysis technologies
Myers, Trina, and Trevathan, Jarrod (2013) Semantic support for hypothesis-based research from smart environment monitoring and analysis technologies. World Academy of Science, Engineering and Technology, 80 . pp. 1018-1026.
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Improvements in the data fusion and data analysis phase of research are imperative due to the exponential growth of sensed data. Currently, there are developments in the Semantic Sensor Web community to explore efficient methods for reuse, correlation and integration of web-based data sets and live data streams. This paper describes the integration of remotely sensed data with web-available static data for use in observational hypothesis testing and the analysis phase of research. The Semantic Reef system combines semantic technologies (e.g., well-defined ontologies and logic systems) with scientific workflows to enable hypothesis-based research. A framework is presented for how the data fusion concepts from the Semantic Reef architecture map to the Smart Environment Monitoring and Analysis Technologies (SEMAT) intelligent sensor network initiative. The data collected via SEMAT and the inferred knowledge from the Semantic Reef system are ingested to the Tropical Data Hub for data discovery, reuse, curation and publication.
|Item Type:||Article (Refereed Research - C1)|
Presented at the ICCIE 2012: International Conference on Computer and Information Engineering, Perth, Australia, December 6-7, 2012. World Academy of Science, Engineering and Technology, is an open access journal.
|Keywords:||information architecture, semantic technologies, sensor networks, ontologies|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 100%|
|Deposited On:||30 Aug 2012 11:22|
|Last Modified:||24 Sep 2013 18:04|
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