Abstract
Recent studies on Business Intelligence highlights the need of on-time, trustable and sound data access systems. Moreover the application of these systems in a flexible and dynamic environment requires for an approach based on automatic procedures that can provide reliable results.
A crucial factor for any automatic data integration system is the matching process. Different categories of matching operators carry different semantics. For this reason combining them in a single algorithm is a non trivial process that have to take into account a variety of options.
This paper proposes a solution based on a categorization of matching operators that allow to group similar attributes on a semantic rich form. This way we define all the information need in order to create a mapping. Then Mapping Generation is activated only on those set of elements that can be queried without violating any integrity constraints on data.
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Ceravolo, P., Cui, Z., Damiani, E., Gusmini, A., Leida, M. (2009). A Framework for Semi-automatic Data Integration. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2008. Lecture Notes in Business Information Processing, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00670-8_4
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DOI: https://doi.org/10.1007/978-3-642-00670-8_4
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