Evaluating Ontology Modules Using an Entropy Inspired Metric
Paul Doran, Valentina A. M. Tamma, Ignazio Palmisano, Terry R. Payne, Luigi Iannone · 2008
In this paper we therefore propose a reformulation of the entropy metric to evaluate the amount of information carried by both the ontology structure, and also by the language elements (i.e. the semantics associated with the edges in the ontological graph). To evaluate this approach, the reformulated metric is empirically compared to Calemt & Daemi's original entropy metric, for a variety of different sized modules. The results suggest that not only can entropy differentiate between structurally different modules of the same size, but that our improved entropy metric provides a finer grain differentiation than the original entropy metric.