SemantEco: A Next- Generation Web Observatory

A web observatory for empirical research of Web data benefits from software frameworks that are modular, has a clear underlying semantic model, and that includes metadata enabling a trace and inspection of the source data and justifications for derived datasets. We present SemantEco as an architecture that can serve as an exemplar abstraction for infrastructure design and metadata based on best practices in Semantic Web, Provenance, and Software Engineering, that can be employed in any Web Observatory, that may grow out of a community. We will describe how the SemantEco framework allows for searching, visualizing, and tracing a wide variety of data.

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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.