Zone based Indexing Model for Database Identification in Search Query Processing

Abstract

In this paper, authors have proposed zone based indexing framework to store data into databases and to retrieve relevant web pages from databases. Web pages are gathered from registered website using web crawlers and relevant web pages are accessed from stored web pages for search queries placed by different users. Response of a search query depends on network framework and indexing structure of data. Orientation of web pages in databases plays a major role to provide minimum delay and maximum accuracy in response of a search query. In our approach, keywords in each web page and search query are identified and mapped with configured zones. Then, association of keywords with zones facilitates to identify databases from available databases to store web pages and to fetch relevant URLs of web pages for processing of search queries. Placement of web pages into databases and processing of search queries are performed with identification of zones using zone based indexing framework to provide accuracy. Comparative analysis has been done to exhibit superior performance of proposed approach over existing framework with respect to response time.