We demonstrate a semantically enabled approach for environmental monitoring as embodied in our semantic water quality portal.
10th International Semantic Web Conference
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As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve query evaluation, little has been done to take advantage of caching.
We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation Semantic Ecology and Environment Portal (SemantEco).