| Abstract |
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Schema integration is the process by which schemata from heterogeneous databases are conceptually integrated into a single cohesive schema. In this work we propose a modeling framework for schema integration, capturing the inherent uncertainty accompanying the integration process. The model utilizes a fuzzy framework to express a confidence measure, associated with the outcome of a schema integration process. In this paper we provide a systematic analysis of the process properties and establish a criterion for evaluating the quality of matching algorithms, which map attributes among heterogeneous schemata.
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Additional Information
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Citation:
Avigdor Gal, Alberto Trombetta, Ateret Anaby-Tavor, Danilo Montesi,
"A Model for Schema Integration in Heterogeneous Databases,"
ideas,
p. 2,
Seventh International Database Engineering and Applications Symposium (IDEAS'03),
2003
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