Title : PERFORMANCE ORIENTED QUERY PROCESSING IN GEO BASED LOCATION SEARCH ENGINES

Type of Material: Thesis
Title: PERFORMANCE ORIENTED QUERY PROCESSING IN GEO BASED LOCATION SEARCH ENGINES
Researcher: S.SIVASUBRAMANIAN
Guide: M.RAJANI
Department: Department of Engineering and Technology(Computer Science and Engineering)
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2011
Language: English
Subject: Query Processing
Search Engine
Geographic
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2011; D08CS020
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_454550
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aS.SIVASUBRAMANIAN|eResearcher
110__|aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein
245__|aPERFORMANCE ORIENTED QUERY PROCESSING IN GEO BASED LOCATION SEARCH ENGINES
260__|aChennai|bBharath University, Chennai|c2011
300__|dDVD
502__|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2011|oD08CS020|bPhD
518__|d2008-01-12|oDate of Registration
520__|aGeographic location search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region. Geographic search technology, also called location search, has recently received significant interest from major search engine companies. Academic research in this area has focused primarily on techniques for extracting geographic knowledge from the web. In this Research, we study the problem of efficient query processing in scalable geographic search engines. Query processing is a major bottleneck in standard web search engines, and the main reason for the thousands of machines used by the major engines. Geographic search engine query processing is different in that it requires a combination of text and spatial data processing techniques. We propose several algorithms for efficient query processing in geographic search engines, integrate them into an existing web search query processor, and evaluate them on large sets of real data and query trace
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aQuery Processing
653__|aSearch Engine
653__|aGeographic
700__|aM.RAJANI|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/170901|yShodhganga
905__|afromsg

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