Knowledge representation and semantics represents a thriving and crucial subfield of biomedical informatics. The representation of healthcare data, information, and knowledge in a semantically rich manner which allows for diverse applications is critical to the present and future of healthcare. There have been great successes in areas ranging from drug discovery and -omics to public health and medication safety, but the job is not done. As we continue to build systems in the cognitive computing era, we face issues in ensuring the represented knowledge is up to date, that we have not made representational errors, that we can use and reason over the represented knowledge as needed for specific applications, and so forth. This pre-symposium event provides a forum for these and many other topics and issues dealing with knowledge representation and semantics to be discussed. The event will consist of two sessions: a doctoral consortium in which students will present their in-progress dissertation work; and a session combining highlights in knowledge representation and semantics in which published work from a diverse set of venues will be presented to this wider audience, and late-breaking research in which extremely recent results and software systems under development will be presented for the first time.

Learning Objective: Attendees should be able to discuss the state of the knowledge representation enterprise as it pertains to biomedical informatics after attending this session.


Daniel Schlegel (Presenter)
SUNY Oswego

Mathias Brochhausen (Presenter)
University of Arkansas for Medical Sciences

Jiang Bian (Presenter)
University of Florida

Presentation Materials: