Journal of IKEEE (전기전자학회논문지)
- Volume 12 Issue 4
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- Pages.217-224
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- 2008
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- 1226-7244(pISSN)
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- 2288-243X(eISSN)
Semantic Correspondence of Database Schema from Heterogeneous Databases using Self-Organizing Map
- Dumlao, Menchita F. (College of Engineering, Hannam University) ;
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Oh, Byung-Joo
(Electronics Engineering, Hannam University)
- Published : 2008.12.31
Abstract
This paper provides a framework for semantic correspondence of heterogeneous databases using self- organizing map. It solves the problem of overlapping between different databases due to their different schemas. Clustering technique using self-organizing maps (SOM) is tested and evaluated to assess its performance when using different kinds of data. Preprocessing of database is performed prior to clustering using edit distance algorithm, principal component analysis (PCA), and normalization function to identify the features necessary for clustering.
Keywords
- Semantic integration;
- heterogeneous databases;
- semantic correspondence;
- clustering;
- data pre-processing;
- self-organizing maps