Knowledge discovery in textual documentation: qualitative and quantitative analyses
| DOI | https://doi.org/10.1108/EUM0000000007094 |
| Pages | 577-590 |
| Published date | 01 October 2001 |
| Date | 01 October 2001 |
| Author | Stanley Loh,José Palazzo M. de Oliveira,Fábio Leite Gastal |
| Subject Matter | Information & knowledge management,Library & information science |
Journal of Documentation, Vol. 57, No. 5, September 2001
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KNOWLEDGE DISCOVERY IN TEXTUAL DOCUMENTATION:
QUALITATIVE AND QUANTITATIVE ANALYSES
STANLEY LOH
sloh@zaz.com.br
Institute of Computer Science, Federal University of Rio Grande do Sul
Porto Alegre, Brazil
Computer Science Department, Catholic University of Pelotas, Pelotas, Brazil
Computer Science Department, Lutheran University of Brazil, Canoas, Brazil
JOSÉ PALAZZO M. DE OLIVEIRA
palazzo@inf.ufrgs.br
Institute of Computer Science, Federal University of Rio Grande do Sul
Porto Alegre, Brazil
FÁBIO LEITE GASTAL
flgastal@zaz.com.br
Olivé Leite Hospital, Pelotas, Brazil
Medicine Department, Catholic University of Pelotas, Pelotas, Brazil
This paper presents an approach for performing knowledge
discovery in texts through qualitative and quantitative analyses of
high-level textual characteristics. Instead of applying mining
techniques on attribute values, terms or keywords extracted from
texts, the discovery process works over concepts identified in texts.
Concepts represent real world events and objects, and they help the
user to understand ideas, trends, thoughts, opinions and intentions
577
THE
Journal of Documentation
VOLUME 57 NUMBER 5 SEPTEMBER 2001
577
Journal of Documentation, vol. 57, no. 5, September 2001, pp. 577–590
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