Remedial Solutions to Improve the Efficiency of Knowledge Based Systems

Authors

  • Kumar Soni H Dept. of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior, India

DOI:

https://doi.org/10.26438/ijcse/v7i6.720724

Keywords:

Knowledge Base System, Expert System, Inference Engine, Knowledge Acquisition, Concept Development

Abstract

A learning base is an effectively available information stockpiling center that contains data about a specific item, administration, theme, or idea. Associations make learning bases to house the majority of the information inside their association about a specific subject, to give one area to get to this data. Information bases can target inside representatives (on account of an organization learning base) or the general population - clients or potential clients - who need to study a specific item, subject, or idea. The objective of a learning base is to legitimately give data to these clients, and, on account of an interior framework, to expand the general comprehension of the whole association. Designing and development of a efficient knowledge base system is a challenging task. In this paper author describe the challenges for KBS and failure of KBS and its causes. Author also provide a deep insight the remedial solution to improve the efficiency of a KBS.

References

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Published

2019-06-30
CITATION
DOI: 10.26438/ijcse/v7i6.720724
Published: 2019-06-30

How to Cite

[1]
H. Kumar Soni, “Remedial Solutions to Improve the Efficiency of Knowledge Based Systems”, Int. J. Comp. Sci. Eng., vol. 7, no. 6, pp. 720–724, Jun. 2019.

Issue

Section

Research Article