A Semantically-Enabled Provenance-Aware Water Quality Portal
نویسندگان
چکیده
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. Keywords—Semantic Web, Visualization, Semantic Environmental Informatics, Water Quality Portal
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