3R Systems: Implications for knowledge representation and reasoning
Submitted by shaunakanel on June 29, 2009 - 15:44
06/17/2009
Larry Hunter
University of Colorado Denver
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, graphical network models for semantic data integration, and some novel user interface approaches into a system that has recently played a pivotal role in making a significant biomedical discovery. This work has implications regarding the use of ontological terms for knowledge representation and reasoning.
06/17/2009
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The National Center for Biomedical Ontology is one of the National Centers for Biomedical Computing supported by the NIH Roadmap.
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