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An Ontology Based for Drilling Report Classification

  • Ivan Rizzo Guilherme
  • Adriane Beatriz de Souza Serapião
  • Clarice Rabelo
  • José Ricardo Pelaquim Mendes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4293)

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.

Keywords

Drilling Fluid Drilling Process Ontology Structure Automate Text Word Combination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ivan Rizzo Guilherme
    • 1
  • Adriane Beatriz de Souza Serapião
    • 1
  • Clarice Rabelo
    • 2
  • José Ricardo Pelaquim Mendes
    • 2
  1. 1.IGCE, DEMACSão Paulo State UniversityRio ClaroBrazil
  2. 2.FEM, DEPThe State University of CampinasCampinasBrazil

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