ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Semantic Integration in Heterogeneous Databases Using Neural Networks.

Wen-Syan Li, Chris Clifton: Semantic Integration in Heterogeneous Databases Using Neural Networks. VLDB 1994: 1-12
@inproceedings{DBLP:conf/vldb/LiC94,
  author    = {Wen-Syan Li and
               Chris Clifton},
  editor    = {Jorge B. Bocca and
               Matthias Jarke and
               Carlo Zaniolo},
  title     = {Semantic Integration in Heterogeneous Databases Using Neural
               Networks},
  booktitle = {VLDB'94, Proceedings of 20th International Conference on Very
               Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile},
  publisher = {Morgan Kaufmann},
  year      = {1994},
  isbn      = {1-55860-153-8},
  pages     = {1-12},
  ee        = {db/conf/vldb/vldb94-1.html},
  crossref  = {DBLP:conf/vldb/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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''.

Copyright © 1994 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


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Printed Edition

Jorge B. Bocca, Matthias Jarke, Carlo Zaniolo (Eds.): VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile. Morgan Kaufmann 1994, ISBN 1-55860-153-8
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