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Analyzing inconsistency toward enhancing integration of biological molecular databases

conference contribution
posted on 2006-01-01, 00:00 authored by Yi-Ping Phoebe Chen, Qingfeng Chen
The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis approaches such as data mining, information retrieval and machine learning have been used to extract frequent patterns from diverse biological databases. However, the discrepancies, due to the differences in the structure of databases and their terminologies, result in a significant lack of interoperability. Although ontology-based approaches have been used to integrate biological databases, the inconsistent analysis of biological databases has been greatly disregarded. This paper presents a method by which to measure the degree of inconsistency between biological databases. It not only presents a guideline for correct and efficient database integration, but also exposes high quality data for data mining and knowledge discovery.

History

Event

Asia-Pacific Bioinformatics Conference (4th : 2006 : Taipei, Taiwan.)

Pagination

197 - 206

Publisher

Imperial College Press

Location

Taipei, Taiwan

Place of publication

London, England

Start date

2006-02-13

End date

2006-02-16

ISBN-13

9781860946233

ISBN-10

1860946232

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2001-08, National University of Singapore

Editor/Contributor(s)

T Jiang, U Yang, Y Chen, L Wong

Title of proceedings

Proceedings of the 4th Asia-Pacific Bioinformatics Conference : Taipei, Taiwan, 13-16 February 2006

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