THE GREAT MIGRATION: INFORMATION CONTENT TO KNOWLEDGE USING COGNITION BASED FRAMEWORKS John N. Carbone and James A. Crowder 1 1. Introduction Research shows that generating new knowledge is accomplished via natural human means: mental insights, scientific inquiry process, sensing, actions, and experiences, while context is information, which characterizes the knowledge and gives it meaning. This knowledge is acquired via scientific research requiring the focused development of an established set of criteria, approaches, designs, and analysis, as inputs into potential solutions. Transdisciplinary research literature clearly argues for development of strategies that transcend knowledge of any one given discipline and that enhance research collaboration. Increasingly, this cross-domain research is more commonplace, made possible by vast arrays of available web based search engines, devices, information content, and tools. Consequently, greater amounts of inadvertent cross-domain information content are exposed to wider research audiences. Researchers expecting specific results to queries end up acquiring somewhat ambiguous results and responses broader in scope. Therefore, resulting in a lengthy iterative learning process and query refinement, until sought after knowledge is discovered. This is certainly true in the Biomedical and Healthcare fields. Biomedical and Health care systems must access vast stores of research and clinical information in their attempts to gather information about a particular topic/disease/condition. Often searches yield thousands of possible sources, most of John N. Carbone, PhD Raytheon, 1200 S. Jupiter Rd Garland, Texas 75042, e-mail: John_N_Carbone@Raytheon.com James A. Crowder, PhD Raytheon, 16800 E Centretech Pkwy Aurora, CO 80011 e-mail: James_A_Crowder@Raytheon.com