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Authors: Vincenzo Cannella ; Giuseppe Russo ; Pierluca Sangiorgi and Roberto Pirrone

Affiliation: Universita’ degli Studi Palermo, Italy

Keyword(s): Semantic Similarity Measure, OWL Ontologies, Semantic Web, Fuzzy Measure.

Related Ontology Subjects/Areas/Topics: Ontology and the Semantic Web ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: An algorithm is presented in this paper to calculate a semantic similarity measure inside an OWL ontology. The formulation is based on a combined measure taking into account the two most important aspects involved in the similarity computation. These are the structural properties of a concept, and the information content inside the ontology. We define a fuzzy system to blend these information sources with a training process over some ontologies. Finding a similarity measure between concepts of an ontology is a fundamental topic to accomplish information exchange on the Web. Through this measure it is possible to perform sophisticated queries over the web where the user is able to request concepts with a predefined similarity (or even dissimilarity) degree.

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Paper citation in several formats:
Cannella, V.; Russo, G.; Sangiorgi, P. and Pirrone, R. (2008). A COMBINED FUZZY SEMANTIC SIMILARITY MEASURE IN OWL ONTOLOGIES. In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-8111-27-2; ISSN 2184-3252, SciTePress, pages 181-186. DOI: 10.5220/0001522801810186

@conference{webist08,
author={Vincenzo Cannella. and Giuseppe Russo. and Pierluca Sangiorgi. and Roberto Pirrone.},
title={A COMBINED FUZZY SEMANTIC SIMILARITY MEASURE IN OWL ONTOLOGIES},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2008},
pages={181-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001522801810186},
isbn={978-989-8111-27-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - A COMBINED FUZZY SEMANTIC SIMILARITY MEASURE IN OWL ONTOLOGIES
SN - 978-989-8111-27-2
IS - 2184-3252
AU - Cannella, V.
AU - Russo, G.
AU - Sangiorgi, P.
AU - Pirrone, R.
PY - 2008
SP - 181
EP - 186
DO - 10.5220/0001522801810186
PB - SciTePress

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