Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IFSA-NAFIPS.2013.6608386 | IFSA World Congress and NAFIPS Annual Meeting |
Keywords | Field | DocType |
data compression,graph theory,text analysis,causal graph representation compression,causal information,graph connecting concepts,redundant information,semiautomatic process,text documents,Causality,automatic summarization,causal graphs,causal representation,redundancy | Graph theory,Text graph,Graph,Theoretical computer science,Graph rewriting,Data compression,Moral graph,Graph (abstract data type),Mathematics | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristina Puente | 1 | 0 | 0.34 |
| José Angel Olivas | 2 | 65 | 12.87 |
| Garrido, E. | 3 | 0 | 0.34 |
| Seisdedos, R. | 4 | 0 | 0.34 |