USGS Banner Semantic Technologies for Integrating USGS Data
USGS Banner Semantic Technologies for Integrating USGS Data: A CDI Semantic Web Working Group (SWWG) Project Prototype Use Case Integrate Fish Species Occurrence, Hydrologic, Water Quality, and Sediment Geochemistry Data Goal: Combine data from a variety of sources into a single dataset to support aquatic habitat research of freshwater fish species in the Susquehanna River Basin. Project Team Technical Approach The project team is learning to leverage: • semantic technologies to describe USGS data sources using RDF; and • common semantics along points of integration. Semantic Web Methodology & Technology Development Process Graphic Credit & Copyright: Peter Fox, Rensselaer Polytechnic Institute (RPI) Develop Model Ontology Heterogeneous Information Models Flexible Data Model USGS Footer “Semantic technologies provide a solution to deal with structural and semantic heterogeneity in disparate data. The Resource Description Framework (RDF) provides a flexible data model that is used to build a conceptual representation of the data with formal semantics and allows disparate data to share formal semantics and relationships along points of integration such as spatial, temporal, and taxonomic information. ” Stephan Zednik Rensselaer Polytechnic Institute (RPI) Map to Overarching Ontology USGS Data Resources • Aquatic Bioassessment Data for the Nation (Bio. Data) • Multistate Aquatic Resources Information System (MARIS) • Mineral Resources On-Line Spatial Data (Geochemistry) • National Hydrography Dataset (NHD) SWWG Project Team Alan Allwardt Nina Chkhenkeli Jeff Falgout Janice Gordon Dave Govoni Fran Lightsom Andrea Ostroff Peter Schweitzer Phethala Thongsavanh Dalia Varanka Stephan Zednik Lisa Zolly
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