DocumentCode
2917594
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
fYear
2008
fDate
1-6 June 2008
Firstpage
3413
Lastpage
3420
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2008.4631259
Filename
4631259
Link To Document