Design of Ontology Learning Model Based on Text Classification for Domain Concept Taxonomy

Authors

  • Monica Sankat  Department of Applied Mathematics and Computer Application, SATI, Vidisha, Madhya Pradesh, India
  • R. S. Thakur  Department of Computer Application, MANIT, Bhopal, Madhya Pradesh, India
  • Shailesh Jaloree  Department of Applied Mathematics and Computer Application, SATI, Vidisha, Madhya Pradesh, India

Keywords:

Ontology, Domain Concept Taxonomy, WEKA, Matthews Correlation Coefficient, Precision Recall Curve, Receiver Operating Characteristics, SVM

Abstract

In this paper we take the approach that constructed the Domain Concept Taxonomy which attempted to take a method that extremely beneficial for the knowledge acquisition task. This work is the integration of knowledge acquisition with machine learning techniques to increase the ontology creation effect, including taxonomy relation Generation, non-taxonomy relation Generation. In this work, the related techniques of machine learning and statistical natural language processing attempt to construct the Domain Concept Taxonomy.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-12-30

Issue

Volume 2, Issue 6, November-December-2016

Section

Research Articles

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How to Cite

[1]
Monica Sankat, R. S. Thakur, Shailesh Jaloree "Design of Ontology Learning Model Based on Text Classification for Domain Concept Taxonomy" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.138-142, November-December-2016.