IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET162640                                                     

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


Monica Sankat, R. S. Thakur, Shailesh Jaloree
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
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.

Monica Sankat, R. S. Thakur, Shailesh Jaloree

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

  1. Gruber, T.: A translation approach to portable ontology specifications.Knowledge acquisition 5(2) (1993) 199-220
  2. Cederberg, S., Widdows, D.: Using LSA and noun coordination information to improve the precision and recall of automatic hyponymy extraction.In: Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003-Volume 4, Association for Computational Linguistics (2003) 118
  3. Jiawei Han, Michelin Kamber, 2001, “Data Mining Concepts and Techniques”, Morgan Kaufmann publishers, USA, 70-181.
  4. Megha Gupta, Naveen Aggrawal, 19-20 March 2010, “Classification Techniques Analysis”, NCCI 2010 -National Conference on Computational Instrumentation CSIO Chandigarh, INDIA, pp. 128-131.
  5. Christoph Goller, Joachim Löning, Thilo Will and Werner Wolff, 2009, “Automatic Document Classification: A thorough Evaluation of various Methods”, “doi=”.
  6. Vishal Gupta, Gurpreet S. Lehal, August 2009 “A Survey of Text Mining Techniques and Applications”, Journal of Emerging Technologies in Web Intelligence, VOL. 1, NO. 1.
  7. B S Harish, D S Guru and S Manjunath, 2010, “Representation and Classification of Text Documents: A Brief Review”, IJCA Special Issue on “Recent Trends in Image Processing and Pattern Recognition” RTIPPR.
  8. Jingnian Chen, Houkuan Huang, Shengfeng Tian and Youli Qu, 2009, “Feature selection for text classification with Naïve Bayes”, Expert Systems with Applications: An International Journal, Volume 36 Issue 3, Elsevier.
  9. Wen Zhang, Taketoshi Yoshida and Xijin Tang, 2008, “Text classification based on multi-word with support vector machine”, Journal: Knowledge Based Systems - KBS , vol. 21, no. 8, pp. 879-886, doi: 10.1016/j.knosys.2008.03.044, Elsevier.
  10. Steve R. Gunn, 1998, “Support Vector Machines for Classification and Regression”, University of Southampton.
  11. Guoqiang Peter Zhang, November 2000, “Neural Networks for Classification: A Survey”, IEEE Transactions on systems, man and cybernetics-Part C, Applications and Reviews, Vol. 30, NO. 4.
  12. Larry Manevitz, Malik Yousef, 2007, “One-class document classification via Neural Networks”, Neurocomputing 70, 1466–1481, Elsevier.
  13. David Faraggi, Richard Simon, 1995, “The maximum likelihood neural network as a statistical classification model”, Journal of Statistical Planning and Inference 46, 93-104, Elsevier.
  14. Ali Selamat, Sigeru Omatu, 2004, “Web page feature selection and classification using neural networks”, Information Sciences 158, 69–88, Elsevier.
  15. Boyce, S., & Pahl, C. (2007). Developing Domain Ontologies for Course Content. Educational Technology & Society, 10 (3),275-288.
  16. Fortuna Blaz, Grobelnik Marko & Mladenic Dunja(2006): Semi-automatic Data-driven Ontology Construction System. In: Proceedings of the 9th International multi-conference Information Society IS-2006, Ljubljana, Slovenia (2006).
  17. Fortuna Blaz, Grobelnik Marko & Mladenic Dunja(2007), OntoGen: Semi-automatic Ontology Editor: Human Interface, Part II, HCII 2007, LNCS 4558, pp. 309–318, 2007.
  18. Jia, M., Yang, B., Zheng D., Sun, W., Liu, Li., Yang, Jing.,(2009) “Automatic Ontology Construction Approaches and Its Application on Military Intelligence”, Asia-Pacific Conference on InformationProcessing (APCIP), vol. 2, Pp. 348 – 351, 2009.
  19. Bhowmick P.K., Roy D., Sarkar S. & Basu A.(2010), A Framework For Manual Ontology Engineering For Management Of Learning Material Repository,2010.
  20. Choudhary Jaytrilok. & Roy Devshri.(2012) ,An Approach to Build Ontology in Semi-Automated way, Journal Of Information And Communication Technologies, Volume 2, Issue 5, May 2012.
  21. Navigli, R., Gangemi, A., Velardi, P.(2003). Ontology learning and its application,2003

Publication Details

Published in : Volume 2 | Issue 6 | November-December - 2016
Date of Publication Print ISSN Online ISSN
2016-12-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
138-142 IJSRSET162640   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET162640.php




National Conference on Advances in Mechanical Engineering 2017(NCAME 2017)

National Conference on Emerging Trends in Civil Engineering 2017( NCETCE 2017)