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Search Optimization using Context based Search

by Nidhi Jain, Paramjeet Rawat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 1
Year of Publication: 2014
Authors: Nidhi Jain, Paramjeet Rawat
10.5120/15317-3616

Nidhi Jain, Paramjeet Rawat . Search Optimization using Context based Search. International Journal of Computer Applications. 88, 1 ( February 2014), 28-31. DOI=10.5120/15317-3616

@article{ 10.5120/15317-3616,
author = { Nidhi Jain, Paramjeet Rawat },
title = { Search Optimization using Context based Search },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 1 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number1/15317-3616/ },
doi = { 10.5120/15317-3616 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:30.636156+05:30
%A Nidhi Jain
%A Paramjeet Rawat
%T Search Optimization using Context based Search
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 1
%P 28-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Finding meaningful information among the billions of information resources on the web is a tedious task as the popularity of Internet is growing rapidly. The future of web is a structured semantic web in place of unstructured information present in the web nowadays. On semantic web, ontology is used to assign meaning to the content of the web. The main concern of focused crawling is to retrieve only the relevant pages rather to crawl all web pages. So the main issue is how to extract quality pages that is relevant to the topic. To overcome this problem, we have designed a focused crawler in which we first will construct ontology from the web repository then we will integrate this ontology with the semantic nets so that a focused document group can be created. After that will accept the keywords to be searched and make search more concise by pruning the unwanted data and display the results based upon that along with its related context with the help of tree structure that is created using the ontology designed by us.

References
  1. O. Heinonen, K. Hatonen, and K. Klemettinen, "WWW robots and search engines. " Seminar on Mobile Code, Report TKO-C79, Helsinki University of Technology, Department of Computer Science, 1996.
  2. Raj Kamal -- Internet and Web Technologies; Tata McGraw Hill, 2003
  3. Mike Burner. , "Crawling towards eterneity: Building an archive of the worldwide web ", Web Techniques Magazine, 2(5), May 1998.
  4. Yang Yongsheng, Wang Hui, "Implementation of Focused Crawler", COMP630D Course Project Report
  5. Martin Ester, Matthias Grob, Hans-Peter Kriegel, "Focused Web Crawling: A Generic Framework for specifying the user interest and for Adaptive crawling strategies", Proc. of 27th International Conference on Very Large databases(VLDB '01), 2001
  6. S. Chakrabarti, M. Van Den Berg, B. Dom, "Focused Crawling: A New Approach to Topic specific web resource discovery", Proc. Of 8th International WWW conference, Toronto, Canada, May,1999
  7. Diligenti M. , Coetzee F. M. , Lawrence S. , Giles C. L. , Gori M. , "Focused Crawling using context graphs", Proc. International Conference on Very Large Databases (VLDB '00), 2000,pp. 527-534
  8. F. Crimmins, "Focused Crawling review", 2001 Design of an Agent Based Context Driven Focused Crawler.
  9. D. Bergmark, C. Lagoze, and A. Sbityakov. Focused crawls, tunneling, and digital libraries. In ACM European Conference on Digital Libraries, Rome, September 2002.
  10. Steve Lawrence, "Context in Web Search", IEEE Data Engineering Bulletin, Volume 23, Number 3, pp. 25-32,2000
  11. S. Chakrabarti, M. Van Den Berg, B. Dom, "Focused Crawling: A New Approach to Topic specific web resource discovery", Proc. Of 8th International WWW conference, Toronto, Canada, May,1999
  12. S. Brin, L. Page, " The Anatomy of a Large-Scale Hypertextual Web Search Engine", Proc. of the 7th International World wide web Conference, Brisbane, Australia, 1998.
  13. Naresh Chauhan --Design of an Agent Based Context Driven Focused Crawler; BIJIT - BVICAM's International Journal of Information Technology , 2009
  14. Hui LI1,Qiangqiang PENG2, Focused Web Crawling Strategy Based on Web Semantic Analysis and Web Link Analysis,Journal of Computational Information Systems5:6(2009)
  15. Parul Gupta, Context based Indexing in Search Engines using Ontology, International Journal of Computer Applications,2010
  16. M. Diligenti, Focused Crawling Using Context Graphs, Proceedings of the 26th VLDB Conference,Cairo, Egypt, 2000.
  17. David B. Leake, Towards ContextBased Search Engine Selection, IUI'01, January 1417,2001, Santa Fe, New Mexico, USA.
Index Terms

Computer Science
Information Sciences

Keywords

Focused crawler ontology semantic net context seraching.

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