INTEGRATING FUZZY LOGIC IN ONTOLOGIES

Silvia Calegari, Davide Ciucci

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.

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Paper Citation


in Harvard Style

Calegari S. and Ciucci D. (2006). INTEGRATING FUZZY LOGIC IN ONTOLOGIES . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 66-73. DOI: 10.5220/0002496100660073


in Bibtex Style

@conference{iceis06,
author={Silvia Calegari and Davide Ciucci},
title={INTEGRATING FUZZY LOGIC IN ONTOLOGIES},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={66-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002496100660073},
isbn={978-972-8865-42-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - INTEGRATING FUZZY LOGIC IN ONTOLOGIES
SN - 978-972-8865-42-9
AU - Calegari S.
AU - Ciucci D.
PY - 2006
SP - 66
EP - 73
DO - 10.5220/0002496100660073