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Authors: A. Laadhar 1 ; F. Ghozzi 2 ; I. Megdiche 1 ; F. Ravat 1 ; O. Teste 1 and F. Gargouri 2

Affiliations: 1 University of Toulouse, France ; 2 University of Sfax, Tunisia

ISBN: 978-989-758-272-1

Keyword(s): Semantic Web, Ontology Matching System, Syntactic Matching, Structural Matching.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontology Matching and Alignment ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: The identification of alignments between heterogeneous ontologies is one of the main research issues in the semantic web. The manual matching of the ontologies is a complex, time consuming and an error prone task. Therefore, ontology matching systems aims to automate this process. Usually, these systems perform the matching process by combining element and structural level matchers. Selecting the optimal string similarity measure associated with its threshold is an important issue in order to enhance the effectiveness of the element level matcher, which in turn will improve the whole ontology system results. In this paper, we present POMap, an ontology matching system based on a syntactic study covering element and structural levels. For the element level matcher we have adopted the best configuration based on the analysis of the performances of many string similarity measures associated with their thresholds. For the structural level, we have performed a syntactic study on b oth subclasses and siblings in order to infer the structural similarity. Our proposed matching system is validated and evaluated on the Anatomy, the Conference and the Large Biomedical tracks provided by the benchmark of OAEI 2016 ontology matching campaign. (More)

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Paper citation in several formats:
Laadhar, A.; Ghozzi, F.; Megdiche, I.; Ravat, F.; Teste, O. and Gargouri, F. (2017). POMap: An Effective Pairwise Ontology Matching System.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 161-168. DOI: 10.5220/0006492201610168

@conference{keod17,
author={A. Laadhar. and F. Ghozzi. and I. Megdiche. and F. Ravat. and O. Teste. and F. Gargouri.},
title={POMap: An Effective Pairwise Ontology Matching System},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006492201610168},
isbn={978-989-758-272-1},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - POMap: An Effective Pairwise Ontology Matching System
SN - 978-989-758-272-1
AU - Laadhar, A.
AU - Ghozzi, F.
AU - Megdiche, I.
AU - Ravat, F.
AU - Teste, O.
AU - Gargouri, F.
PY - 2017
SP - 161
EP - 168
DO - 10.5220/0006492201610168

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