By Topic

Ontology-based Web crawler

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
S. Ganesh ; Dept. of CSE & IT, Pondicherry Eng. Coll., India ; M. Jayaraj ; V. Kalyan ; SrinivasaMurthy
more authors

The requirement of a Web crawler that downloads most relevant pages is still a major challenge in the field of information retrieval systems. The use of link analysis algorithms like page rank and other importance-metrics have shed a new approach in prioritizing the URL queue for downloading higher relevant pages. The combination of these metrics along with a new metric called association-metric has been proposed. The association-metric estimates the semantic content of the URL based on the domain dependent ontology, which in turn strengthens the metric that is used for prioritizing the URL queue. In addition, after downloading the page, the association metric plays important role in estimating the relevancy of the links in that page. The proposed new metric solves the major problem of finding the relevancy of the pages before the process of crawling, to an optimal level.

Published in:

Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on  (Volume:2 )

Date of Conference:

5-7 April 2004