Current Research and Scholarly Interests
The construction of automated systems to assist biomedical decision making is impeded by difficulties in formalizing knowledge and in encoding that knowledge for use by the computer. Current work in our laboratory addresses mechanisms by which computers can assist in the development of large, electronic biomedical knowledge bases. Emphasis is placed on new methods for the automated generation of computer-based tools that end-users can use to enter knowledge of specific biomedical content. In particular, we are studying:
- Representation of biomedical concepts and terminologies for development of intelligent systems
- Development of reusable domain descriptions (ontologies) and problem-solving methods
- Visual metaphors to facilitate knowledge entry by application specialists
- Decision-support systems for use in biomedicine
- Guideline-based and protocol-based clinical care
The Protégé system provides a uniform infrastructure for our work on knowledge modeling and representation.
The National Center for Biomedical Ontology, supported by the NIH Common Fund, develops a new generation of technology for storing, accessing, evaluating, and using biomedical knowledge resources.