Using a Lightweight Ontology of Heart Electrophysiology in an Interactive Web Application

Biomedical knowledge and data have been increasingly more explored by computer programs in providing support for human visualization of biomedical phenomena. Use scenarios of such graphical simulations range from physician’s decision support to aid-learning in medical sciences. The knowledge and data representation often plays a prominent role in such biomedical applications. In this sense, this paper introduces the use of a lightweight ontology of heart electrophysiology in an interactive web application. We reflect on this ontology-based application to highlight some benefits achieved with a representation based on a combination of the semantic web languages OWL DL and SWRL. The application can be used to offer support for interactive learning in heart electrophysiology.