Title :
Compressing the representation of a causal graph
Author :
Puente, C. ; Olivas, Jose A. ; Garrido, E. ; Seisdedos, R.
Author_Institution :
Adv. Tech. Fac. of Eng. ICAI, Pontifical Comillas Univ., Madrid, Spain
Abstract :
The aim of this paper is to introduce procedure capable of compressing the representation of causal graphs, removing the redundant information introduced. In previous works we have presented several algorithms to extract causal information from text documents by means of a semi-automatic process. As result we obtained a causal graph connecting concepts related to a given topic.
Keywords :
data compression; graph theory; text analysis; causal graph representation compression; causal information; graph connecting concepts; redundant information; semiautomatic process; text documents; Cancer; Context; Data mining; Databases; Educational institutions; Lungs; Redundancy; Causality; automatic summarization; causal graphs; causal representation; redundancy;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608386
