Title :
Semantic classification of attributes for integrating heterogeneous relational databases with artificial neural networks
Author :
Zárate, José Asunción Enríquez ; Cervantes, Jair ; Espinosa, Adrian Trueba ; Rosas, Rosa María Valdovinos ; Sanchez, Luis Márquez
Author_Institution :
Univ. UAEM, Valle de Chalco, Mexico
Abstract :
One of the major problems in heterogeneous databases integration with different scheme and management system, is the data tautology, which involves an issue of semantics in the content mainly from the names and addresses at the time of normalizing the database, this problem is tackled in this article, by means of a neural network to classify the data. The results show that can be proper classification of up to 84% with these results may normalize the database and properly solve the problem generated by the database integration..
Keywords :
neural nets; pattern classification; relational databases; artificial neural network; attribute semantic classification; data tautology; database integration; heterogeneous relational database; Accuracy; Biological neural networks; Databases; Encoding; Numerical models; Semantics; Training data; Heterogeneous database system; neural networks; semantic;
Conference_Titel :
Electrical Engineering Computing Science and Automatic Control (CCE), 2011 8th International Conference on
Conference_Location :
Merida City
Print_ISBN :
978-1-4577-1011-7
DOI :
10.1109/ICEEE.2011.6106628
