Data integration using lazy types

  • Authors:

  • Fernando Berzal;Juan-Carlos Cubero;Nicolás Marín;Maria Amparo Vila

  • Affiliations:

  • Intelligent Databases and Information Systems Research Group, Department of Computer Science and Artificial Intelligence, Escuela Técnica Superior de Ingenierías, Informática y de T ...;Intelligent Databases and Information Systems Research Group, Department of Computer Science and Artificial Intelligence, Escuela Técnica Superior de Ingenierías, Informática y de T ...;Intelligent Databases and Information Systems Research Group, Department of Computer Science and Artificial Intelligence, Escuela Técnica Superior de Ingenierías, Informática y de T ...;Intelligent Databases and Information Systems Research Group, Department of Computer Science and Artificial Intelligence, Escuela Técnica Superior de Ingenierías, Informática y de T ...

  • Venue:
  • ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
  • Year:
  • 2006

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Abstract

The development of applications that use the different data sources available in organizations require to solve a data integration problem.Most of the methodologies and tools that simplify the task of finding an integrated schema propose conventional object-oriented solutions as the basis for building a global view of the system. As we will see in this work, the use of the conventional object-oriented data model is not as appropriate as we would like when dealing with data variability and we present a novel typing framework, lazy typing, that can be used for obtaining a global schema in the data integration process. This typing framework eases the transparent development of applications that use this integrated schema and reconcile data.