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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/32332
Title: 
An ontology based for drilling report classification
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
0302-9743
Abstract: 
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.
Issue Date: 
1-Jan-2006
Citation: 
Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.
Time Duration: 
1037-1046
Publisher: 
Springer
Source: 
http://dx.doi.org/10.1007/11925231_99
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/32332
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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