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AIC Seminar Series

Automated Aides for Generating Scientific Insights

Lawrence HunterUniversity of Colorado at Denver[Home Page]

Notice:  hosted by Vinay Chaudhri

Date:  2008-01-10 at 11:00

Location:  EJ228 (SRI E building)  (Directions)

   Abstract

The profusion of high-throughput instruments and the explosion of new results in the scientific literature, particularly in molecular biomedicine, is both a blessing and a curse to the bench researcher. Even knowledgable and experienced scientists can benefit from computational tools that help navigate this vast and rapidly evolving terrain. However, effective design and implementation of computational tools that genuinely facilitate the generation of novel and significant scientific insights remains poorly understood. In this talk, I will describe a set of efforts that combines natural language processing for information extraction and graphical network models for semantic data integration into a system that has recently played a pivotal role in making a significant discovery, and also discuss how it might be possible to compare and evaluate such systems.

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