Incorporating Real Time Web Search in Local System

نویسنده

  • Mrs. S. UMADEVI
چکیده

Search engine helps user to locate information from large storage media of content. So I propose search engine to reduce the work load of server. User search query in web its collect all web pages from server i.e. linking open data. All open data are copied temporarily in local system because of that user does not depends on server to view next web page so it reduce the work load of server. Local data search is an emerging information-retrieval paradigm in which a system finds answers to a query instantly while a user types in keywords character-by-character. In that, fuzzy search method further improves user search experiences by finding relevant answers in system and filtering keyword similar to query keyword. A main computational challenge in this paradigm is high speed requirement i.e. each query needs to be answered within seconds to achieve an instant response and a high query throughput. To overcome the space and time limitation, fuzzy search method improves the user user to fetch relevant record in server it temporarily stored in PC and further record search can be done without depending on server. Keywords— search engine, information-retrieval, fuzzy search

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تاریخ انتشار 2015