Semantic Ecology and Environmental Portal

Printer-friendly version

Technical Report: twc-swqp [Download]

Research Areas: Knowledge Provenance, Semantic eScience
Principal Investigator: Deborah L. McGuinness
Co Investigator: Joanne S. Luciano
Concepts: eScience, Web Science, Provenance
Description:
We present a semantic technology-based approach to emerging environmental information systems. We used our linked data approach in the Tetherless World Constellation Semantic Water Quality Portal (TWC-SWQP). Our integration scheme uses a core domain ontology and integrates water data from different authoritative sources along with multiple regulation ontologies to enable pollution detection and monitoring. An OWL-based reasoning scheme identifies pollution events relative to user chosen regulations. Our approach also captures and leverages provenance to improve transparency. In addition, semantic water quality portal features provenance-based facet generation, query answering and data validation over the integrated data via SPARQL. We introduce the approach and the water portal, and highlight some of its potential impacts for the future of environmental monitoring systems.
To see a static demonstration of the portal, please see http://inference-web.org/wiki/Semantic_Water_Quality_Portal
To go to the live site, see http://aquarius.tw.rpi.edu/projects/semantaqua/
Please also see our submission to the EPA Apps for the Environment Challenge
SemantEco source code is available at Google Code.


A student project is extending SemantAqua to include endangered species. More information is available at the project page.

Ontologies available at: pollution.owl, water.owl, wildlife-healtheffect.owl, health.owl (obsolete)

Video Demonstration