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Abstract: Schema matching is a basic problem in many database application domains, such as data integration, E-business, data warehousing, and semantic query processing. In current implementations, schema matching is typically performed manually, which has significant limitations. On the other hand, previous research papers have proposed many techniques to achieve a partial automation of the match operation for specific application domains. We present a taxonomy that covers many of these existing... (Update)
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BibTeX entry: (Update)
E. Rahm, P.A. Bernstein. A survey of approaches to automatic schema matching. VLDB J. 10:4 (2001), pp. 334:350. http://citeseer.ist.psu.edu/rahm01survey.html More
@article{ rahm01survey,
author = "Erhard Rahm and Philip A. Bernstein",
title = "A survey of approaches to automatic schema matching",
journal = "VLDB Journal: Very Large Data Bases",
volume = "10",
number = "4",
month = "????",
pages = "334--350",
year = "2001",
url = "citeseer.ist.psu.edu/rahm01survey.html" }
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