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Remedial Solutions to Improve the Efficiency of Knowledge Based Systems

Hemant Kumar Soni1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 720-724, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.720724

Online published on Jun 30, 2019

Copyright © Hemant Kumar Soni . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Hemant Kumar Soni, “Remedial Solutions to Improve the Efficiency of Knowledge Based Systems,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.720-724, 2019.

MLA Style Citation: Hemant Kumar Soni "Remedial Solutions to Improve the Efficiency of Knowledge Based Systems." International Journal of Computer Sciences and Engineering 7.6 (2019): 720-724.

APA Style Citation: Hemant Kumar Soni, (2019). Remedial Solutions to Improve the Efficiency of Knowledge Based Systems. International Journal of Computer Sciences and Engineering, 7(6), 720-724.

BibTex Style Citation:
@article{Soni_2019,
author = {Hemant Kumar Soni},
title = {Remedial Solutions to Improve the Efficiency of Knowledge Based Systems},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {720-724},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4619},
doi = {https://doi.org/10.26438/ijcse/v7i6.720724}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.720724}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4619
TI - Remedial Solutions to Improve the Efficiency of Knowledge Based Systems
T2 - International Journal of Computer Sciences and Engineering
AU - Hemant Kumar Soni
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 720-724
IS - 6
VL - 7
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

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

References

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