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ISSN: 2165- 7866

Journal of Information Technology & Software Engineering
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Research Article

Improving Web Query Processing through Mapping Algorithm to Data Warehouse for Bioinformatics

Mohd Kamir Yusof*, Ahmad Faisal Amri Abidin and Mohd Sufian Mat Deris

Faculty of Informatics, Universiti Sultan Zainal Abidin, Terengganu, Malaysia

*Corresponding Author:
Mohd Kamir Yusof
Faculty of Informatics
Universiti Sultan Zainal Abidin
Terengganu, Malaysia
Tel: 609-6653302
Fax: 609-6673412
E-mail: [email protected]

Received Date: August 04, 2011; Accepted Date: November 17, 2011; Published Date: November 19, 2011

Citation: Yusof MK, Abidin AFA, Deris MSM (2011) Improving Web Query Processing through Mapping Algorithm to Data Warehouse for Bioinformatics. J Inform Tech Soft Engg 1:102. doi:10.4172/2165-7866.1000102

Copyright: © 2011 Yusof MK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Bioinformatics is combination between biology and informatics. Most of biological data is used by private or government sectors such clinics, hospitals, etc. Web based application is tool to access this biological data. A good methodology or technique is needed to store huge of biological data. In this research, two issues have been identified. First is data integration and second is web query processing. In this paper, technique for data integration and mapping algorithm will propose in order to improve web query processing in bioinformatics. Data integration means integration different data sources and store into a single data source. This single database source will store only important information such a keyword and data source destination. The keyword in data warehouse will match will information enter by web user. Then, a mapping algorithm will map to only relate data source for searching and retrieving process. A simple web based application was developed and tested. Several experiments have been done and results indicates a mapping algorithm and data warehouse approach for data integration able to improve web query processing in bioinformatics in term of time performance.

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