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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Guilherme, I.R., de Souza Serapião, A.B., Rabelo, C., Mendes, J.R.P. (2006). An Ontology Based for Drilling Report Classification. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_99
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DOI: https://doi.org/10.1007/11925231_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49026-5
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