원문정보
초록
영어
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.
목차
1. Introduction
2. Heterogeneous Databases
3. Designing Intelligent Algorithm
3.1. Initial Query
3.2. Exploit a query
3.3. Assign Possible Queries
3.4. Matching, Search and Retrieve Data
3.5. Display Result/Information
4. Prototype Architecture and Implementation
4.1. Implementation
4.2. Sample Query
4.3. Analysis
5. Conclusions
References