Tuning up FOIL for extracting information from the web
by Pablo Palacios, Inaki Fernandez de Viana
International Journal of Computer Applications in Technology (IJCAT), Vol. 33, No. 4, 2008

Abstract: Most websites are designed to be easily understood by human users. This constitutes a problem when you want to access this information automatically. To resolve this problem, different algorithms have emerged to automatically generate and extract information. One of these algorithms is SRV; SRV uses a technique of supervised learning that is expensive in time. In this paper we present various optimisations to reduce this cost by up 40%.

Online publication date: Sun, 04-Jan-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com