Improving Web Query Processing Through An Intelligent Algorithm For Heterogeneous Databases

Yusof, Mohd Kamir and Abidin @ Bharun, Ahmad Faisal Amri and Mat Deris, Mohd Sufian and Mohamad Usop, Nor Surayati (2011) Improving Web Query Processing Through An Intelligent Algorithm For Heterogeneous Databases. Journal of Theoretical and Applied Information Technology, 27 (2). pp. 85-90. ISSN 1992-8645

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Performance of web query processing becomes slow caused by increasing number of data. In this paper, intelligent algorithm was created to fix this problem. Four main components involved in this intelligent algorithm are assigning initial query, exploit query, assign to any possible query and query matching. Firstly, web user is needed to enter a keyword then this keyword automatically will assign as an initial query. After that, this initial query must be exploited before assigning process to any possible queries. These possible queries will match to existing query form temporary file that contains data schema and map to only select data sources. In this methodology, XML will use for mapping to heterogeneous databases. XML is really effective for mapping to heterogeneous databases. This methodology has been implemented in a prototype and applied to web queries. Another issue in with web query is difficult to search for information that best reflects the user’s need information. According this problem, intelligent algorithm was created and tested by developing simple application based on system architecture. This intelligent algorithm that was good for fixed problems by improving web query processing for heterogeneous databases. The intelligent algorithm was implemented and tested for heterogeneous database environment

Item Type: Article
Keywords: Intelligent algorithm, Web query processing, XML, Heterogeneous database
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 04:10
Last Modified: 25 May 2014 04:10

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