Semantic Technologies for Integrating USGS Data

This project described production of an information foundation for fish habitat research consisting of a “mashup” of data from multiple USGS data systems that are fragmented among the former USGS Divisions. The proposal aimed to develop and test the semantic approach to data integration by focusing on the problem of fish habitat modeling. Effective prediction of the abundance of particular species at particular locations is a primary objective of both ecology and natural resource management. Better knowledge of aquatic fish ecology and habitat requirements and improved tools for assessment and planning are needed to help conserve and rehabilitate populations throughout their native range.



Principal Investigator : Janice Gordon



Benefits

• Single access point to multiple data sets
• Repeatable technical infrastructure
• Knowledge transfer on semantics technologies
• Prototype can be leveraged for the expansion of USGS national fisheries work

Deliverables

• Finish the Prototype Development (content no longer available)
• Poster presented and demonstration given at CDI DataBlast (July 2012)
• Presentation given at CDI-hosted Webinar (September 2012)
• Publish Open File (Contains Technical Documentation; In IPDS Late-April 2013)

Note: this information is from the FY12 CDI Annual Review