A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems

A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems

C. Niang (Laboratoire d’Informatique (LI), Université François Rabelais Tours, Blois, France, & Laboratoire d’Analyse Numérique et d’Informatique (LANI), Université Gaston Berger, Saint-Louis, Senegal), B. Bouchou Markhoff (Laboratoire d’Informatique (LI), Université François Rabelais Tours, Blois, France), Y. Sam (Laboratoire d’Informatique (LI), Université François Rabelais Tours, Blois, France) and M. Lo (Laboratoire d’Analyse Numérique et d’Informatique (LANI), Université Gaston Berger, Saint-Louis, Senegal)
DOI: 10.4018/jaras.2013040102
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Abstract

Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a “global schema’’. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or “background knowledge’’) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB).
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Preliminaries

In this article, we consider that each ontology 𝒪 is constructed with the following elements (Nguyen, 2007):

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