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A case study of data integration for aquatic resources using semantic web technologies

Open-File Report 2015-1004

By:
https://doi.org/10.3133/ofr20151004

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Abstract

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.

Additional publication details

Publication type:
Report
Publication Subtype:
USGS Numbered Series
Title:
A case study of data integration for aquatic resources using semantic web technologies
Series title:
Open-File Report
Series number:
2015-1004
DOI:
10.3133/ofr20151004
Year Published:
2015
Language:
English
Publisher:
U.S. Geological Survey
Publisher location:
Reston, VA
Contributing office(s):
Core Science Analytics, Synthesis, and Libraries
Description:
v, 55 p.
First page:
60
Online Only (Y/N):
Y
Additional Online Files (Y/N):
N