Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24791
Title: Optimization of query processing over internet services
Researcher: Uma, R
Guide(s): Muneeswaran, K
Keywords: Information and communication engineering
World Wide Web
Upload Date: 9-Sep-2014
University: Anna University
Completed Date: 01/10/2013
Abstract: Information at World Wide Web is retrieved through queries that are submitted by the users to the search engine For a given query various techniques are followed to access the WWW to process it and retrieve the most related documents All techniques retrieve more or less same documents but vary in time that it consumes to generate such results newlineTherefore the best method is needed to reduce the time required for information retrieval This requirement is focused by enormous researchers to discover and invent many techniques Though the invented techniques retrieved the documents quickly they did not concentrate on the relevancy of retrieved documents Hence an essential technique that depletes less time and retrieves more accurate document is necessary To address this issue a framework named Semantic and Feature Aggregated Information Retrieval newline is proposed in this dissertation The proposed framework comprises the following components namely 1 clustering 2 indexing 3 information retrieval and 4 ranking Each component is described in four different phases At the first phase the documents are indexed through a technique named multilevel hashing that helps to find the location of information easily his indexing technique properly maintains the web documents in two levels a database named BulidKeyDB is built as the first and keywords are indexed in the second level In second phase the documents are clustered which is newlineanother way for increasing the speed of the searching operation newline newline
Pagination: xxi, 176p.
URI: http://hdl.handle.net/10603/24791
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.02 MBAdobe PDFView/Open
03_abstract.pdf8.7 kBAdobe PDFView/Open
04_acknowledgement.pdf6.18 kBAdobe PDFView/Open
05_contents.pdf43.71 kBAdobe PDFView/Open
06_chapter1.pdf459.65 kBAdobe PDFView/Open
07_chapter2.pdf87.66 kBAdobe PDFView/Open
08_chapter3.pdf269.78 kBAdobe PDFView/Open
09_chapter4.pdf458.92 kBAdobe PDFView/Open
10_chapter5.pdf229.34 kBAdobe PDFView/Open
11_chapter6.pdf4.36 MBAdobe PDFView/Open
12_chapter7.pdf1.15 MBAdobe PDFView/Open
13_chapter8.pdf11.25 kBAdobe PDFView/Open
14_references.pdf36.42 kBAdobe PDFView/Open
15_publications.pdf5.46 kBAdobe PDFView/Open
16_vitae.pdf4.98 kBAdobe PDFView/Open


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