Using Semantic Web technologies to tie together disparate data about species

Tuesday, November 18, 2008: 2:11 PM
Room A5, First Floor (Reno-Sparks Convention Center)
Peter J. DeVries , Department of Entomology, University of Wisconsin-Madison, Madison, WI
Daniel K. Young , Entomology, University of Wisconsin, Madison, WI
Kenneth F. Raffa , Department of Entomology, University of Wisconsin, Madison, WI
Lyric Bartholomay , Iowa State University, Ames, IA
Information on species can be found in a number of different databases. Unfortunately, it is often difficult to integrate this information using traditional relational databases. Semantic Web technologies can help tie disparate data together and allow for complex analysis and prediction of species-environment, and species-species interactions.