By Topic

An artificial immune system model for knowledge extraction and representation

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

3 Author(s)
Romero, A. ; Dept. of Comput. Eng., Nat. Univ. of Colombia, Bogota ; Nino, F. ; Quintana, G.

This paper presents an approach to knowledge extraction and representation based on an artificial immune system. The main idea is to extract the important concepts from a set of text documents, and find the relations between such concepts. At the end, a graph representation is obtained, which is intended to present a picture of the documentspsila contents. Some experiments were carried out in order to validate the proposed approach, and very promising results were obtained.

Published in:

Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on

Date of Conference:

1-6 June 2008