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Istituto di Scienza e Tecnologie dell'Informazione     
Straccia U., Mucci M. pFOIL-DL: Learning (Fuzzy) EL concept descriptions from crisp OWL data using a probabilistic ensemble estimation. In: SAC-15 - 30th Annual ACM Symposium on Applied Computing (Salamanca, Spain, 13-17 April 2015). Proceedings, pp. 345 - 352. ACM, 2015.
 
 
Abstract
(English)
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.
URL: http://dl.acm.org/citation.cfm?doid=2695664.2695707
DOI: http://dx.doi.org/10.1145/2695664.2695707
Subject Semantic Web
Fuzzy logic
OWL 2
Learning
I.2.4 Knowledge Representation Formalisms and Methods


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