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• W1537402732 abstract "One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databases refer to the same data. The meaning of information may be embodied within a database model, a conceptual schema, application programs, or data contents. Integration involves extracting semantics, expressing them as metadata, and matching semantically equivalent data elements. We present a procedure using a classifier to categorize attributes according to their field specifications and data values, then train a neural network to recognize similar attributes. In our technique, the knowledge of how to match equivalent data elements is discovered from metadata, not pre-programmed." @default.
• W1537402732 created "2016-06-24" @default.
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• W1537402732 date "1994-09-12" @default.
• W1537402732 modified "2023-10-18" @default.
• W1537402732 title "Semantic Integration in Heterogeneous Databases Using Neural Networks" @default.
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