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Published in:
2010 | OriginalPaper | Chapter
Learning Terminologies in Probabilistic Description Logics
Authors : Kate Revoredo, José Eduardo Ochoa-Luna, Fabio Gagliardi Cozman
Published in: Advances in Artificial Intelligence – SBIA 2010
Publisher: Springer Berlin Heidelberg
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This paper investigates learning methods where the target language is the recently proposed probabilistic description logic
cr
$\mathcal{ALC}$
. We start with an inductive logic programming algorithm that learns logical constructs; we then develop an algorithm that learns probabilistic constructs by searching for conditioning concepts, using examples given as interpretations. Issues on learning from entailments are also examined, and practical examples are discussed.