|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 66 - Issue 4 |
| Published: March 2013 |
| Authors: Chain Singh, Ashish Kr. Luhach, Amitesh Kumar |
10.5120/11075-5996
|
Chain Singh, Ashish Kr. Luhach, Amitesh Kumar . Improving Focused Crawling With Genetic Algorithms. International Journal of Computer Applications. 66, 4 (March 2013), 40-43. DOI=10.5120/11075-5996
@article{ 10.5120/11075-5996,
author = { Chain Singh,Ashish Kr. Luhach,Amitesh Kumar },
title = { Improving Focused Crawling With Genetic Algorithms },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 66 },
number = { 4 },
pages = { 40-43 },
doi = { 10.5120/11075-5996 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Chain Singh
%A Ashish Kr. Luhach
%A Amitesh Kumar
%T Improving Focused Crawling With Genetic Algorithms%T
%J International Journal of Computer Applications
%V 66
%N 4
%P 40-43
%R 10.5120/11075-5996
%I Foundation of Computer Science (FCS), NY, USA
The Web, containing a large amount of useful information and resources, is expanding rapidly. Web crawlers are one of the most crucial components in search engines and their optimization would have a great effect on improving the searching efficiency. Focused Crawlers can selectively retrieve Web documents relevant to a specific domain to build collections for domain-specific search engines. In this paper, we use a genetic algorithm with focused crawling for improving its crawling performance. Expands initial keywords by using a genetic algorithm for focused crawling. The results showed that our approach could build domain-specific collections with higher quality than traditional focused crawling techniques.