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.
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Berzal, F., Cubero, JC., Marín, N., Vila, M.A. (2007). Data Integration Using Lazy Types. In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_5
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DOI: https://doi.org/10.1007/978-3-540-77368-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77367-2
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