Summary
Global access to databases is a key success issue for most of today’s companies. Empirical evidence shows that a lot of data integration projects failed or did not provide the expected return. ‘Technical’ reasons are structural and semantic heterogeneity, as well as the complexity of the integration task, another major problem is that costs and benefits of data integration have never been seriously considered. A tool that addresses these problems and that supports all stages of the data integration process is introduced in this paper.
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© 1997 Springer-Verlag Berlin Heidelberg
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Hunstock, J., Rauh, O., Stickel, E. (1997). Interoperable Database Systems. In: Klar, R., Opitz, O. (eds) Classification and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59051-1_29
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DOI: https://doi.org/10.1007/978-3-642-59051-1_29
Publisher Name: Springer, Berlin, Heidelberg
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