PFOIL-DL: Learning (Fuzzy) EL concept descriptions from crisp OWL data using a probabilistic ensemble estimation

Abstract

OWL ontologies are nowadays a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given an OWL target class T, we address the problem of inducing E葦(D) concept descriptions that describe sufficient conditions for being an individual instance of T. To do so, we use a Foil-based method with a probabilistic candidate ensemble estimation. We illustrate its effectiveness by means of an experimentation.