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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Guilherme, I. R., De Souza Serapião, A. B., Rabelo, C., & Mendes, J. R. P. (2006). An ontology based for drilling report classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4293 LNAI, pp. 1037–1046). Springer Verlag. https://doi.org/10.1007/11925231_99
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