Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A survey of data provenance in e-science
ACM SIGMOD Record
An ontology-based knowledge management system for flow and water quality modeling
Advances in Engineering Software
A methodology to support multidisciplinary model-based water management
Environmental Modelling & Software
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Environmental Modelling & Software
Knowledge representation in the semantic web for Earth and environmental terminology (SWEET)
Computers & Geosciences
Converting governmental datasets into linked data
Proceedings of the 6th International Conference on Semantic Systems
TWC LOGD: A portal for linked open government data ecosystems
Web Semantics: Science, Services and Agents on the World Wide Web
Towards unified provenance granularities
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
Proceedings of the 14th Annual International Conference on Digital Government Research
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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). Our integration scheme uses an upper level monitoring ontology and mid-level monitoring-relevant domain ontologies. The initial domain ontologies focus on water and air quality. We then integrate domain data from different authoritative sources and multiple regulation ontologies (capturing federal as well as state guidelines) to enable pollution detection and monitoring. An OWL-based reasoning scheme identifies pollution events relative to user chosen regulations. Our approach captures and leverages provenance to enable transparency. In addition, SemantEco features provenance-based facet generation, query answering, and validation over the integrated data via SPARQL. We introduce the general SemantEco approach, describe the implementation which has been built out substantially in the water domain creating the SemantAqua portal, and highlight some of the potential impacts for the future of semantically-enabled monitoring systems.