An Ontology Model-based Minnesota Code

Abstract

In this paper, the authors present an approach towards modeling a classical expert system using an ontology-based solution. The aim was to have an extensible setup, where multiple reasoning methods can be used, to provide the desired outcome. The case study, is a hierarchical rule-based system, for the evaluation of reference ECG signals called the Minnesota Code. This paper describes the practical limitations of the original expert system based definition, of the Minnesota code and describes an approach to represent it as an ontology that provides support for various reasoning methods. The authors present here, a possible solution to use the ontology model and ontology reasoning to provide a diagnostic evaluation of ECG information added to the Minnesota code ontology that corresponds to the rules defined by the expert system based solution.