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

Authors(3) :-Monica Sankat, R. S. Thakur, Shailesh Jaloree

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 138-142
Manuscript Number : IJSRSET162640
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
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