PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bobillo F., Straccia U. Optimising Fuzzy Description Logic Reasoners with General Concept Inclusion Absorption. In: Fuzzy Sets and Systems, vol. 292 pp. 98 - 129. Special Issue in Honor of Francesc Esteva on the Occasion of his 70th Birthday. Lluis Godo, Félix Bou, Marco Cerami, Angel García-Cerdaña, Pere Garcia and Carles Noguera (eds.). Elsevier, 2016.
 
 
Abstract
(English)
General Concept Inclusion (GCI) absorption algorithms have shown to play an important role in classical Description Logic (DL) reasoners. They allow to transform GCIs into simpler forms to which we may apply specialised inference rules, returning important performance gains. In this work, we develop the first absorption algorithm for fuzzy DLs, implement it in the fuzzyDL reasoner and evaluate it extensively over both classical and fuzzy ontologies. The results show that our algorithm improves the performance of the reasoner significantly.
URL: http://www.sciencedirect.com/science/article/pii/S0165011414004850
DOI: 10.1016/j.fss.2014.10.029
Subject Description Logics
Fuzzy Logic
Optimisation strategies
I.5 PATTERN RECOGNITION. Fuzzy set


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