SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks

WS Li, C Clifton - Data & Knowledge Engineering, 2000 - Elsevier
One step in interoperating among heterogeneous databases is semantic integration:
Identifying relationships between attributes or classes in different database schemas.
SEMantic INTegrator (SEMINT) is a tool based on neural networks to assist in identifying
attribute correspondences in heterogeneous databases. SEMINT supports access to a
variety of database systems and utilizes both schema information and data contents to
produce rules for matching corresponding attributes automatically. This paper provides …
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