Adaptive Global Schema Generation from Heterogeneous Metadata Schemas

نویسندگان

  • Rim Zghal Rebaï
  • Fatma Mnif
  • Corinne Amel Zayani
  • Ikram Amous
چکیده

The access to heterogeneous data through their metadata needs a matching process of the metadata schemas. This process identifies the correspondence relations called “Mappings” between the schemas to identify a global schema. This latter allows a uniform access to heterogeneous data. In this context, several works are proposed. However, the obtained mappings and the global schema are identified regardless of the user’s profile. Thus, the queries results are the same for any user despite the various profiles. In this paper, we present a matching process that (i) deals with the metadata schema heterogeneities and (ii) considers the users’ profile. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of KES International.

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تاریخ انتشار 2015