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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.

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Index Terms

Computer Science
Information Sciences

Keywords

Focused crawler ontology semantic net context seraching.

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