Ontologies have proved to be very useful in sharing concepts across applications in an unambiguous way. Nowadays, in ontology-based applications information is often vague and imprecise. This is a well-known problem especially for semantics-based applications, such as e-commerce, knowledge management, web portals, etc. In computer-aided reasoning, the predominant paradigm to manage vague knowledge is fuzzy set theory. This paper presents an enrichment of classical computational ontologies with fuzzy logic to create fuzzy ontologies. So, it is a step towards facing the nuances of natural languages with ontologies. Our proposal is developed in the KAON ontology editor, that allows to handle ontology concepts in an high-level environment.

Calegari, S., Ciucci, D. (2006). Integrating fuzzy logic in ontologies. In ICEIS 2006 (pp.66-73).

Integrating fuzzy logic in ontologies

CALEGARI, SILVIA;CIUCCI, DAVIDE ELIO
2006

Abstract

Ontologies have proved to be very useful in sharing concepts across applications in an unambiguous way. Nowadays, in ontology-based applications information is often vague and imprecise. This is a well-known problem especially for semantics-based applications, such as e-commerce, knowledge management, web portals, etc. In computer-aided reasoning, the predominant paradigm to manage vague knowledge is fuzzy set theory. This paper presents an enrichment of classical computational ontologies with fuzzy logic to create fuzzy ontologies. So, it is a step towards facing the nuances of natural languages with ontologies. Our proposal is developed in the KAON ontology editor, that allows to handle ontology concepts in an high-level environment.
paper
Fuzzy Ontology; semantic web
English
ICEIS 2006
972-8865-41-4
Calegari, S., Ciucci, D. (2006). Integrating fuzzy logic in ontologies. In ICEIS 2006 (pp.66-73).
Calegari, S; Ciucci, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/15040
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