Deakin home > Deakin University Library > Deakin Research Online > Analyzing inconsistency toward enhancing integration of biological molecular databases

Analyzing inconsistency toward enhancing integration of biological molecular databases

Chen, Yi-Ping Phoebe and Chen, Qingfeng 2006, Analyzing inconsistency toward enhancing integration of biological molecular databases, in Proceedings of the 4th Asia-Pacific Bioinformatics Conference : Taipei, Taiwan, 13-16 February 2006, Imperial College Press, London, England, pp. 197-206.

Document type: Conference Paper
Collection: School of Engineering and Information Technology
Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Analyzing inconsistency toward enhancing integration of biological molecular databases
Author(s) Chen, Yi-Ping Phoebe
Chen, Qingfeng
Conference name Asia-Pacific Bioinformatics Conference (4th : 2006 : Taipei, Taiwan.)
Conference location Taipei, Taiwan
Conference dates 13-16 February 2006
Title of proceedings Proceedings of the 4th Asia-Pacific Bioinformatics Conference : Taipei, Taiwan, 13-16 February 2006
Editor(s) Jiang, Tao
Yang, Ueng-Cheng
Chen, Yi-Ping Phoebe
Wong, Limsoon
Publication date 2006
Conference series Asia-Pacific Bioinformatics Conference
Start page 197
End page 206
Publisher Imperial College Press
Place of publication London, England
Summary 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.
ISBN 1860946232
9781860946233
Language eng
Field of Research 080610 Information Systems Organisation
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2001-08, National University of Singapore
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005986
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.
Versions
Version Filter Type
Access Statistics: 362 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:56:57 EST