Журнал основ возобновляемой энергии и приложений
Открытый доступ

Абстрактный

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

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

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.