Analysis of Modelling Frameworks for Knowledge Acquisition

Authors

  • Thirunavukkarasu K School of Computing Science and Engineering, Galgotias University, Greater Noida, India
  • Ashu A School of Computing Science and Engineering, Galgotias University, Greater Noida, India
  • Singh D School of Computing Science and Engineering, Galgotias University, Greater Noida, India
  • Khan SS Department of Information Technology, University College of Bahrain , Janabiyah, Bahrain

Keywords:

KADS, MIKE, PROTEGE, KAF, Umbrella Approaches, ESPRIT

Abstract

Knowledge acquisition is an elementary stage of knowledge engineering. The process includes extracting the raw data from various sources that are later structured and organized in such a form that contribute in providing knowledge. Usually knowledge can be acquired from sources such as primer, manuals and simulation models but a highly elaborate acquisition comes from human experts. This paper projects the various modelling techniques and framework. The proposed Knowledge Acquisition Framework(KAF)emphasizes on the models like Common KADS, MIKE, PROTEGE and their concept of knowledge acquisition. This technology helps in the process of building and framing various application of knowledge engineering

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Published

2025-11-13

How to Cite

[1]
T. K. Thirunavukkarasu, A. Ashu, D. Singh, and S. S. Khan, “Analysis of Modelling Frameworks for Knowledge Acquisition”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 123–127, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE Special Issue May Edition

Section

Research Article

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