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.
References
- Berners-Lee, T. and Lassila, O. (2001). The semantic web. In Scientific American.
- Berners-Lee, T., Shadbolt, N., and Hall, W. (2006). The semantic web revisited. In IEEE Intelligent Systems.
- Castano, S., Ferrara, A., Montanelli, S., and Racca, G. (2004). Semantic information interoperability in open networked systems. In Proc. of the Int. Conference on Semantics of a Networked World (ICSNW), in cooperation with ACM SIGMOD 2004.
- Gruber, T. R. (1993). A translation approach to portable ontology specifications. In Knowledge Acquisition.
- Helfin, J. (2004). Web ontology language (owl): Use cases and requirements. In W3C Recommendation.
- Jiang, J. J. and Conrath, D. (1997). Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings of International Conference on Research in Computational Linguistics.
- Lin, D. (1999). An information-theoretic definition of similarity. In Proceedings of the 15th International Conference on Machine Learning. Morgan Kaufmann.
- Nguyen, H. and Al-Mubaid, H. (2006). A combinationbased semantic similarity measure using multiple information sources. In IEEE International Conference on Information Reuse and Integration.
- Protege' (2004). Protege' ontology http://protegewiki.stanford.edu/index.php/. line; accessed October 2007].
- Rada, R., Mili, H., Bicknell, E., and Blettner, M. (1989). Development and application of a metric on semantic nets. In IEEE Transactions on Systems, Man, and Cybernetics.
- Wang, G.-H., Wang, Y.-D., and Guo, M.-Z. (2006). An ontology-based method for similarity calculation of concepts in the semantic web. In IEEE International Conference on Machine Learning and Cybernetics, pages 100-105.
Paper Citation
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