Optimizing ontology alignments using flow based approach

Optimizing ontology alignments using flow based approach

Chahira Touati  Moussa Benaissa Yahia Lebbah 

Université d’Oran 1 Ahmed Ben Bella, B.P. 1524 El-M’Naouar, 31000 Oran, Algérie

Corresponding Author Email: 
chahira40@yahoo.fr, moussabenaissa@yahoo.fr, ylebbah@yahoo.fr
Page: 
733-758
|
DOI: 
https://doi.org/10.3166/RIA.30.733-758
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
31 December 2016
| Citation

OPEN ACCESS

Abstract: 

Ontologies have been created to solve the problem of the heterogeneity of data on the Web and to share domain knowledge between systems. However, several ontologies of the same domain are developed on the Web which became themselves source of heterogeneity. The Ontology alignment is a solution to solve this type of problem. It aims to discover the semantic correspondences between ontologies. We present in this paper an efficient graph-based approach to tackle the problem of extracting ontology alignment. More precisely our approach consists in modeling the problem of extracting an alignment (matching) which satisfies multiple cardinality constraints, as minimizing some cost on a flow network. Our approach has been evaluated on a variety of synthetic and real data, and compared with current used algorithms (e.g., Hungarian and Karp algorithms).

Keywords: 

ontologies, ontology alignment, graph based approach, cardinality constraints, flow network.

1. Introduction
2. Travaux connexes
3. Préliminaires sur l’alignement des ontologies
4. Algorithmes utilisés dans notre approche
5. Contribution
6. Expérimentation et discussion
7. Conclusion
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