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

Yusof, Mohd Kamir and Abidin @ Bharun, Ahmad Faisal Amri and Mat Deris, Mohd Sufian (2011) Improving Web Query Processing through Mapping Algorithm to Data Warehouse for Bioinformatics. Journal of Information Technology & Software Engineering, 1 (1). pp. 1-3. ISSN 2165- 7866

[img] Text
improving-web-query-processing-through-mapping-algorithm-to-data warehouse-for-bioinformatics-2165-7866.1000102.pdf - Published Version
Restricted to Registered users only

Download (1299Kb)
Official URL: http://www.omicsgroup.org/

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 a

Item Type: Article
Keywords: Bioinformatics; Data Integration; Data Warehouse; Mapping Algorithm
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Mr. Mohd Kamir Yusof
Date Deposited: 25 May 2014 03:56
Last Modified: 25 May 2014 03:56
URI: http://erep.unisza.edu.my/id/eprint/1055

Actions (login required)

View Item View Item