A case study of data integration for aquatic resources using semantic web technologies
Use cases, information modeling, and linked data techniques are Semantic Web technologies used to develop a prototype system that integrates scientific observations from four independent USGS and cooperator data systems. The techniques were tested with a use case goal of creating a data set for use in exploring potential relationships among freshwater fish populations and environmental factors. The resulting prototype extracts data from the BioData Retrieval System, the Multistate Aquatic Resource Information System, the National Geochemical Survey, and the National Hydrography Dataset. A prototype user interface allows a scientist to select observations from these data systems and combine them into a single data set in RDF format that includes explicitly defined relationships and data definitions. The project was funded by the USGS Community for Data Integration and undertaken by the Community for Data Integration Semantic Web Working Group in order to demonstrate use of Semantic Web technologies by scientists. This allows scientists to simultaneously explore data that are available in multiple, disparate systems beyond those they traditionally have used.
Citation Information
Publication Year | 2015 |
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Title | A case study of data integration for aquatic resources using semantic web technologies |
DOI | 10.3133/ofr20151004 |
Authors | Janice M. Gordon, Nina Chkhenkeli, David L. Govoni, Frances L. Lightsom, Andrea C. Ostroff, Peter N. Schweitzer, Phethala Thongsavanh, Dalia E. Varanka, Stephan Zednik |
Publication Type | Report |
Publication Subtype | USGS Numbered Series |
Series Title | Open-File Report |
Series Number | 2015-1004 |
Index ID | ofr20151004 |
Record Source | USGS Publications Warehouse |
USGS Organization | Core Science Analytics, Synthesis, and Libraries |