Ontology-based correlation of resource management actions with water quality data in South East Queensland
作者： C. Brooking , A. Alabri , J. Hunter , P. Becker , E. Abal
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摘要: This paper describes the ontology-based information management system “Health-e- Waterways” that has been developed to link over 500 actions environmental monitoring data being acquired through SEQ HWP’s Ecosystem Health Monitoring Program. We describe ontology area-based Action Plans specific regions, indicators and parameters. also Bing Maps/GoogleEarth interface combines querying with spatio-temporal integrate heterogeneous databases visualize spatial temporal trends in water quality. The ability display Management Actions alongside related Indicators for a given catchment, enables policy makers easily identify impact of investments adapt them accordingly. approach application semantic inferencing infer flow-on effects on sites are downstream.
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