International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 110 | Views: 256

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014 | Rating: 6.8 / 10

An Evolving Approach on Efficient Web Crawler using Fuzzy Genetic Algorithm

P. Jaganathan | T. Karthikeyan [2]

Abstract: Today, Web has become one of the largest and most readily accessible repositories and a rich resource of human knowledge. The traditional search engines index only surface Web whose pages are easily found. The focus has now been moved to invisible Web or hidden Web, which consists of a large warehouse of useful data such as images, sounds, presentations and many other types of media. To use such data, there is a need for specialized technique to locate those sites as we do with search engines. This paper focuses on an effective design of a Web Crawler that can optimally discover pages from the by employing fuzzy based genetic algorithm. The fitness function was evaluated using fuzzy fitness finder to produce best population for each iteration. A framework is used to discover the resource discovery problem and the results show the improvement in the crawling strategy and harvest rate.

Keywords: Web crawler, Fuzzy, Web Crawler, Genetic algorithm, Search engine

Edition: Volume 3 Issue 10, October 2014,

Pages: 681 - 686

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait