Rapid data processing, knowledge discovery, and translational implementation require technologies that automate data and knowledge sharing and analysis. Formal ontologies, a form of knowledge representation, support computer-based reasoning and inferencing based on explicit conceptualizations of objects, their properties, and relations between objects. This project aims at developing novel tools and techniques that can be widely applied to ontology development and applications across the domains of healthcare knowledge – from molecule, cell, organism, to population levels. The long-term goal of the project is to build a broader framework and new paradigms for ontology-based cross-domain knowledge representation, data integration and transfer, and computer-assisted automated reasoning. The University of Michigan Ontology Working Group (OWG), comprised of cross-disciplinary scientists, technologists, and clinicians, provides a unique and open environment for achieving these goals.