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Zone based Indexing Model for Database Identification in Search Query Processing

机译:基于区域的搜索查询处理中数据库识别的索引模型

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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.
机译:在本文中,作者提出了基于区域的索引框架,将数据存储到数据库中并从数据库中检索相关的网页。使用Web爬网程序从注册网站收集网页,并从存储的网页访问相关的网页,以获取不同用户放置的搜索查询。搜索查询的响应取决于网络框架和数据索引结构。数据库中网页的方向扮演主要作用,以提供搜索查询的响应以提供最小延迟和最大精度。在我们的方法中,识别每个网页和搜索查询中的关键字并使用已配置的区域映射并映射。然后,与区域的关键字关联有助于识别来自可用数据库的数据库以存储网页并获取用于处理搜索查询的网页的相关URL。使用基于区域的索引框架的区域进行识别来执行网页的数据库和搜索查询的处理,以提供准确性。已经完成了比较分析,以表现出对响应时间的现有框架的卓越性能。

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