An ontology based for drilling report classification
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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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 |