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2015
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pFOIL-DL: learning (fuzzy) EL concept descriptions from crisp OWL data using a probabilistic ensemble estimation

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pFOIL-DL: learning (fuzzy) EL concept descriptions from crisp OWL data using a probabilistic ensemble estimation
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 EL(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.
Umberto Straccia, Matteo Mucci
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where SAC
Authors Umberto Straccia, Matteo Mucci
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