Knowledge Architecture based on Evidence Based Logical Atomism for Translational Research

Summary In post-genome research, bridging genomic science and clinical medicine through in silico knowledge is crucial for the translational research. Here the key bridging issue is to establish the logical integration and the bi-directional migration of knowledge based on multidisciplinary information. For this purpose, we propose the Knowledge representation architecture based on Evidence based Logical Atomism (KELA) that has the single and share-able representation as the logically extended anatomically hierarchical structure from genome to human. It makes logical integration possible. Knowledge is represented with the knowledge atom that is a set of logical atom (LA) and its supportive evidences. Evidence and its EBM (Evidence Based Medicine) based quality assessment make the background of LA and its quality clear. KELA is the share-able knowledge representation architecture and have potential to facilitate strategic post genome research or to support translational research.