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Optimization of Search Information on cloud

Published on May 2014 by N. P. Joshi, R. B. Kulkarni
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National Seminar on Recent Trends in Cloud Computing
Foundation of Computer Science USA
NSRCC - Number 1
May 2014
Authors: N. P. Joshi, R. B. Kulkarni
ca3bed45-416d-448e-8405-f18cc2cbcf1e

N. P. Joshi, R. B. Kulkarni . Optimization of Search Information on cloud. National Seminar on Recent Trends in Cloud Computing. NSRCC, 1 (May 2014), 20-22.

@article{
author = { N. P. Joshi, R. B. Kulkarni },
title = { Optimization of Search Information on cloud },
journal = { National Seminar on Recent Trends in Cloud Computing },
issue_date = { May 2014 },
volume = { NSRCC },
number = { 1 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/nsrcc/number1/16486-1413/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Trends in Cloud Computing
%A N. P. Joshi
%A R. B. Kulkarni
%T Optimization of Search Information on cloud
%J National Seminar on Recent Trends in Cloud Computing
%@ 0975-8887
%V NSRCC
%N 1
%P 20-22
%D 2014
%I International Journal of Computer Applications
Abstract

Cloud Computing, another buzzword for internet based computing, is used to deliver services on the internet by sharing computing resources. Amongst a large number of services web service is the most important one. To get access to the vast amount of information, we use search engine. It is often the case where users are starved for the correct information, and observed effectiveness is quite low. Our proposed work explains a method to improve effectiveness of Internet information by constructing a cloud of search engines. The method uses query processing and result optimization returned by multiple search engines. A combination of different term-weighting schemes is used to improve rank updation process which in turn improves information retrieval. The search results are submitted to an optimizer where they are re-ranked by updating the existing pagerank values. These optimized search results are returned to the user. .

References
  1. aeyong Kang and Kwang Mong Sim (2011) "A Cloud Portal with a Cloud Service Search Engine" International Conference on Information andIntelligent Computing IPCSIT vol. 18
  2. A. K. Shanna, Neha Aggarwal "Web Search Result Optimization by Mining the Search Engine Query Logs" ©201 0 IEEE
  3. Ulrich G¨untzer , Wolf-Tilo Balke, Werner Kießling "Optimizing Multi-Feature Queries for Image Databases" Proceedings of the 26th VLDB Conference,Cairo, Egypt, 2000.
  4. Yubao Zhang "Result optimization returned by multiple Chinesesearch engines based on XML" Institute of Mechanical and Information Engineering, Zhejiang Textile and Fashion College
  5. Jaeyong Kang, Kwang Mong Sim "Cloudle: An Ontology-Enhanced Cloud Service Search Engine" Web Information Systems Engineering – WISE 2010 Workshops Lecture Notes in Computer Science Volume 6724, 2011, pp 416-427.
  6. Nikolaos Nanas , Victoria Uren , Anne De Roeck "A Comparative Study of Term Weighting Methods for Information Filtering
  7. A. Arasu, 1. Cho, H. Garcia-Molina, A. Paepcke, and S. Raghavan, "Searching the Web," ACM Transactions on InternetTechnology, Vol. I, No. I, pp. 97-101, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Rank Updater