Ontology Matching using Multiple Similarity Measures

Thi Thuy Anh Nguyen, Stefan Conrad

2015

Abstract

This paper presents an automatic ontology matching approach (called LSSOM - Lexical Structural Semantic-based Ontology Matching method) which brings a final alignment by combining three kinds of different similarity measures: lexical-based, structure-based, and semantic-based techniques as well as using information in ontologies including names, labels, comments, relations and positions of concepts in the hierarchy and integrating WordNet dictionary. Firstly, two ontologies are matched sequentially by using the lexical-based and structure-based similarity measures to find structural correspondences among the concepts. Secondly, the semantic similarity based on WordNet dictionary is applied to these concepts in given ontologies. After the semantic and structural similarities are obtained, they are combined in the parallel phase by using weighted sum method to yield the final similarities. Our system is implemented and evaluated based on the OAEI 2008 benchmark dataset. The experimental results show that our approach obtains good F-measure values and outperforms other automatic ontology matching systems which do not use instances information.

Paper Citation

in Harvard Style

Nguyen T. and Conrad S. (2015). Ontology Matching using Multiple Similarity Measures . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: DART, (IC3K 2015) ISBN 978-989-758-158-8, pages 603-611. DOI: 10.5220/0005615606030611

in Bibtex Style

@conference{dart15,
author={Thi Thuy Anh Nguyen and Stefan Conrad},
title={Ontology Matching using Multiple Similarity Measures},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: DART, (IC3K 2015)},
year={2015},
pages={603-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005615606030611},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: DART, (IC3K 2015)
TI - Ontology Matching using Multiple Similarity Measures
SN - 978-989-758-158-8
AU - Nguyen T.
AU - Conrad S.
PY - 2015
SP - 603
EP - 611
DO - 10.5220/0005615606030611