FuzzyAlign - A Fuzzy Method for Ontology Alignment

Susel Fernández, Juan R. Velasco, Ivan Marsa-Maestre, Miguel A. Lopez-Carmona

2012

Abstract

The need of sharing information and services makes data integration as one of the most requested issues in the Semantic Web. Ontologies are crucial for formally specifying the vocabulary and the concepts within a domain, so, for better interoperability is important to translate data from one ontological framework to another. Ontology matching is the process of finding correspondences between the concepts of different ontologies. This problem is being addressed in many studies but has not managed to automate the matching process fully considering all the complex structure of the ontologies. This paper aims to provide mechanisms to support experts in the ontology matching process by using fuzzy logic techniques to determine the similarity between entities from different ontologies. We propose FuzzyAlign, a Multi-Layer fuzzy rule-based system, which obtains the alignments by taking into account both the lexical and semantic elements of names, and the relational and the internal structures of the ontologies to obtain the alignments. The ideas presented in this work were validated using the OAEI evaluation tests for ontology alignment systems in which we have obtained good results.

Paper Citation

in Harvard Style

Fernández S., Velasco J., Marsa-Maestre I. and A. Lopez-Carmona M. (2012). FuzzyAlign - A Fuzzy Method for Ontology Alignment . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 98-107. DOI: 10.5220/0004139500980107

in Bibtex Style

@conference{keod12,
author={Susel Fernández and Juan R. Velasco and Ivan Marsa-Maestre and Miguel A. Lopez-Carmona},
title={FuzzyAlign - A Fuzzy Method for Ontology Alignment},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={98-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004139500980107},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - FuzzyAlign - A Fuzzy Method for Ontology Alignment
SN - 978-989-8565-30-3
AU - Fernández S.
AU - Velasco J.
AU - Marsa-Maestre I.
AU - A. Lopez-Carmona M.
PY - 2012
SP - 98
EP - 107
DO - 10.5220/0004139500980107