An ontology based for drilling report classification


Autoria(s): Guilherme, Ivan Rizzo; de Souza Serapiao, Adriane Beatriz; Rabelo, Clarice; Pelaquim Mendes, Jose Ricardo; Gelbukh, A.; ReyesGarcia, C. A.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/01/2006

Resumo

This paper presents an application of an ontology based system for automated text analysis using a sample of a drilling report to demonstrate how the methodology works. The methodology used here consists basically of organizing the knowledge related to the drilling process by elaborating the ontology of some typical problems. The whole process was carried out with the assistance of a drilling expert, and by also using software to collect the knowledge from the texts. Finally, a sample of drilling reports was used to test the system, evaluating its performance on automated text classification.

Formato

1037-1046

Identificador

http://dx.doi.org/10.1007/11925231_99

Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.

0302-9743

http://hdl.handle.net/11449/32332

10.1007/11925231_99

WOS:000244587700099

Idioma(s)

eng

Publicador

Springer

Relação

Micai 2006: Advances In Artificial Intelligence, Proceedings

Direitos

closedAccess

Tipo

info:eu-repo/semantics/conferencePaper