A Semantically-Enabled Provenance-Aware Water Quality Portal (under review)

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Environmental informatics applications often analyze data collected from various sources. Both data collection and data analysis benefit from expert knowledge. However, if applications are to be used by a broader range of users with less expert knowledge, applications will need to include a deeper understanding of the data used and analysis performed. We present the Tetherless World Constellation Semantic Water Quality Portal as both a water quality portal application and as an example of a semantic approach to environmental informatics applications. The portal integrates water data from multiple sources and captures the semantics of the data in a simple water quality ontology. Portal users can identify polluted water sources and polluting facilities according to multiple regulation perspectives and geographic constraints by using visualizations of semantically-enabled queries. Further, knowledge provenance is encoded in the data capture and integration services to enable provenance-based queries and reasoning capability.


DateCreated ByLink
July 14, 2011
Ping WangDownload
July 14, 2011
Ping WangDownload

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Related Research Areas:

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Description: Inference And Trust
Concepts: Semantic Web
Knowledge Provenance
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