Schema Evolution publication categorizer

One important step in integrating heteroge- neous databases is matching equivalent at- tributes: Determining which fields in two databases refer to the same data. The mean- ing of information may be embodied within a. database model, a conceptual schema, appli- cation programs, or data contents. Integra- tion involves extracting semantics, expressing them as metadata, and matching semantically equivalent data elements. We present a proce- dure using a classifier to categorize attributes according to their field specifications and data values, then train a neural network to recog- nize similar attributes. In our technique, the knowledge of how to match equivalent data elements is “discovered” from metadata , not “pre-programmed”.