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BMI 6306 Information and Knowledge Representation in Biomedical Informatics

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based and classroom instruction
Prerequisite: BMI 5304
Lab Fee: $30

The purpose of this course is to examine the role of information representation, controlled vocabularies and knowledge engineering constructs such as ontologies in conceptualization, design and implementation of modern health information systems. The course will introduce approaches for representing information and knowledge in a distributed network of health information systems. Moving beyond a general understanding of taxonomies, students will gain an understanding of the conceptual foundations of ontologies, including the limitations of the modern systems. Knowledge modeling and engineering principals will be introduced through lectures, hands-on practice and the class project. This will include the design, construction and use of ontologies in health care applications. Through hands-on experience, students will gain insight into the strengths and limitations of the existing resources, approaches and systems as well as point to directions where future work needs to be done.

Upon successful completion of the course, students will:

  • Demonstrate fundamental ontology concepts, properties, and axiom
  • Create simple ontologies in OWL using Protégé
  • Use RDF and SPARQL
  • Describe existing biomedical ontologies and their usage