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  • Semantic support for hypothesis-based research from smart environment monitoring and analysis technologies

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    82779_1.pdf (542.5Kb)
    Author(s)
    Myers, T
    Trevathan, Jarrod
    Griffith University Author(s)
    Trevathan, Jarrod
    Year published
    2012
    Metadata
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    Abstract
    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 ...
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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.
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    Conference Title
    International Conference on Computer and Information Engineering
    Publisher URI
    https://waset.org/
    Copyright Statement
    © 2012 WASET. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
    Subject
    Decision support and group support systems
    Publication URI
    http://hdl.handle.net/10072/52299
    Collection
    • Conference outputs

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