13 de Octubre de 2017

• Autor: José González Enriquez.
• Titulo: “A Model-Driven Engineering Approach for the Uniquely Identity Reconciliation of Heterogeneous Data Sources”.
• Directores: Francisco José Domínguez Mayo y María José Escalona Cuaresma.
• Sinopsis:

  Previous chapters of this PhD thesis hold up the work where we present and define a theoretical and practical Framework. They also describe a work based on a real need in organizations (Chapter I), that later has turned into a specific problem (Chapter III) derived from the results and conclusions obtained after studying the state-of-the-art (Chapter II). Once the context has been specified, the remaining PhD thesis introduces a Framework composed three main pillars: (i) the MaRIA Process (Chapter IV), (ii) the Model-Driven approach (Chapter V) to support the entity reconciliation modeling preparing the system to be developed to be systematically tested defining a set of transformation mechanisms (Chapter VI) and (iii), a support tool to cover the previous two pillars called MaRIA Tool (Chapter VII). To apply the theoretical framework to real environments. In this sense this approach has been put in practice in two real world case studies presented in Chapter VIII.

  This Doctoral Thesis propose a suitable environment to support the entity reconciliation in the requirements and analysis phases. This environment allows the development team to prepare their future system to guarantee a suitable entity reconciliation with, besides could be systematically tested.

• Teseo: N.A.
• Repositorio USE: N.A.
• SISIUS: https://investigacion.us.es/sisius/sis_showpub.php?idpers=20334