A COMBINED FUZZY SEMANTIC SIMILARITY MEASURE IN OWL ONTOLOGIES
Vincenzo Cannella, Giuseppe Russo, Pierluca Sangiorgi, Roberto Pirrone
2008
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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in Harvard Style
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 2: WEBIST, ISBN 978-989-8111-27-2, pages 181-186. DOI: 10.5220/0001522801810186
in Bibtex Style
@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 2: WEBIST,},
year={2008},
pages={181-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001522801810186},
isbn={978-989-8111-27-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - A COMBINED FUZZY SEMANTIC SIMILARITY MEASURE IN OWL ONTOLOGIES
SN - 978-989-8111-27-2
AU - Cannella V.
AU - Russo G.
AU - Sangiorgi P.
AU - Pirrone R.
PY - 2008
SP - 181
EP - 186
DO - 10.5220/0001522801810186