Title :
An artificial immune system model for knowledge extraction and representation
Author :
Romero, Andres ; Nino, Fernando ; Quintana, Gerardo
Author_Institution :
Dept. of Comput. Eng., Nat. Univ. of Colombia, Bogota
Abstract :
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.
Keywords :
artificial immune systems; document handling; graph theory; knowledge representation; text analysis; artificial immune system model; graph representation; knowledge extraction; knowledge representation; text documents; Artificial immune systems; Association rules; Bibliographies; Data mining; Immune system; Information filtering; Information filters; Ontologies; Proposals; Visual databases;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631259
