Istituto di Scienza e Tecnologie dell'Informazione     
Bobillo F., Straccia U. Reducing the size of the optimization problems in fuzzy ontology reasoning. In: URSW 2015 - 11th International Workshop on Uncertainty Reasoning for the Semantic Web (Bethlehem, USA, 12 October 2015). Proceedings, pp. 54 - 59. (CEUR Workshop Proceedings, vol. 1479). CEUR-WS.org, 2015.
Fuzzy ontologies allow the representation of imprecise structured knowledge, typical in many real-world application domains. A key factor in the practical success of fuzzy ontologies is the availability of highly optimized reasoners. This short paper discusses a novel optimization technique: a reduction of the size of the optimization problems obtained during the inference by the fuzzy ontology reasoner fuzzyDL.
URL: http://ceur-ws.org/Vol-1479/paper6.pdf
Subject Description Logics
Fuzzy Logic
I.2.4 ARTIFICIAL INTELLIGENCE. Knowledge Representation Formalisms and Methods

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