Sciweavers

Share
VLDB
1994
ACM

Semantic Integration in Heterogeneous Databases Using Neural Networks

10 years 3 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. 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 asmetadata, and matching semantically equivalent data elements. We present a procedure using a classifier to categorizeattributes 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".
Wen-Syan Li, Chris Clifton
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1994
Where VLDB
Authors Wen-Syan Li, Chris Clifton
Comments (0)
books