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Vers une Interopérabilité Multi-Niveaux des Métadonnées

Abstract : Several matching techniques have been proposed in recent decades to achieve meta-data interoperability. However, most of the techniques focus on matching in the lowest level (schema level) taking into account only schemas defined using one description language which partially solve the problem of heterogeneity. In this context, we propose in this paper, a new matching approach, named MuMIe (Multi-level Metadata Integration), it aims at achieving interoperability on both levels (schema and description language). The proposed technique transforms schemas from different description languages in directed labeled graphs capturing only the basic concepts. A methodology for matching is then performed in the lower level to find the mapping between graph nodes, this is done by using several structural and semantic information. Our experimental results demonstrate the performances the proposed system.
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Submitted on : Saturday, September 29, 2018 - 3:30:02 PM
Last modification on : Wednesday, May 11, 2022 - 12:34:02 PM
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  • HAL Id : hal-00812330, version 1

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Samir Amir, Ioan Marius Bilasco, Thierry Urruty, Chaabane Djeraba. Vers une Interopérabilité Multi-Niveaux des Métadonnées. INFORSID 2011, May 2011, Lille, France. ⟨hal-00812330⟩

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