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The idea of cross-referencing distinct areas of knowledge to glean new insights is not new, but not much work has been done with automatic analysis of different expressions of the same knowledge source, such as a given scientific text and illustrations that accompany it. The NLM grant “Image-guided Biocuration of Disease Pathways From Scientific Literature” attempts to do just that, using state-of-the-art NLP and graph technologies to extract published knowledge and convert it into both machine- and human-readable formats. With thousands of scientific papers being published every month, such a system can significantly improve visibility of new research and speed up its integration into the curated body of knowledge.
Please contact Robert Sanders (sandersrl@missouri.edu) for Zoom information.