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Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems

It is critical to have a knowledge base model for efficient storage of extracted knowledge. This ensures that the knowledge is stored in a meaningful way to be used for different applications. The efficiency of the knowledge base model depends largely on the rules of construction. Knowledge represen...

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Main Authors:	Wani, Sharyar, Tengku Sembok, Tengku Mohd., Wahiddin, Mohamed Ridza
Format:	Conference or Workshop Item
Language:	English English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	T Technology (General) T61 Technical education. Technical schools
Online Access:	http://irep.iium.edu.my/72821/1/72821_Rule%20based%20modeling%20of%20knowledge%20bases.pdf http://irep.iium.edu.my/72821/2/72821_Rule%20based%20modeling%20of%20knowledge%20bases_SCOPUS.pdf http://irep.iium.edu.my/72821/3/72821_Rule%20based%20modeling%20of%20knowledge%20bases_WOS.pdf http://irep.iium.edu.my/72821/ https://ieeexplore.ieee.org/document/8560901
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spelling	my.iium.irep.728212019-06-24T04:04:21Z http://irep.iium.edu.my/72821/ Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems Wani, Sharyar Tengku Sembok, Tengku Mohd. Wahiddin, Mohamed Ridza T Technology (General) T61 Technical education. Technical schools It is critical to have a knowledge base model for efficient storage of extracted knowledge. This ensures that the knowledge is stored in a meaningful way to be used for different applications. The efficiency of the knowledge base model depends largely on the rules of construction. Knowledge represented using logico-linguistic techniques and semantic networks lack a consistent rule based knowledge model. The current paper deals with the analysis of text from the knowledge extraction, representation and semantic network phase to formulate rules which would lay foundations of a knowledge model. The developed rules seem to be promising providing a comprehensive coverage of different scenarios. The extensive coverage is an indication that the knowledge model will cater to the entire domain knowledge, thereby laying the foundations of automatic construction of efficient knowledge bases. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018-12-04 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/72821/1/72821_Rule%20based%20modeling%20of%20knowledge%20bases.pdf application/pdf en http://irep.iium.edu.my/72821/2/72821_Rule%20based%20modeling%20of%20knowledge%20bases_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72821/3/72821_Rule%20based%20modeling%20of%20knowledge%20bases_WOS.pdf Wani, Sharyar and Tengku Sembok, Tengku Mohd. and Wahiddin, Mohamed Ridza (2018) Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems. In: 2017 International Conference on Computational Science and Computational Intelligence (CSCI 2017), 14th-16th Dec. 2017, Las Vegas, United States. https://ieeexplore.ieee.org/document/8560901 10.1109/CSCI.2017.142
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English English
topic	T Technology (General) T61 Technical education. Technical schools
spellingShingle	T Technology (General) T61 Technical education. Technical schools Wani, Sharyar Tengku Sembok, Tengku Mohd. Wahiddin, Mohamed Ridza Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
description	It is critical to have a knowledge base model for efficient storage of extracted knowledge. This ensures that the knowledge is stored in a meaningful way to be used for different applications. The efficiency of the knowledge base model depends largely on the rules of construction. Knowledge represented using logico-linguistic techniques and semantic networks lack a consistent rule based knowledge model. The current paper deals with the analysis of text from the knowledge extraction, representation and semantic network phase to formulate rules which would lay foundations of a knowledge model. The developed rules seem to be promising providing a comprehensive coverage of different scenarios. The extensive coverage is an indication that the knowledge model will cater to the entire domain knowledge, thereby laying the foundations of automatic construction of efficient knowledge bases. © 2017 IEEE.
format	Conference or Workshop Item
author	Wani, Sharyar Tengku Sembok, Tengku Mohd. Wahiddin, Mohamed Ridza
author_facet	Wani, Sharyar Tengku Sembok, Tengku Mohd. Wahiddin, Mohamed Ridza
author_sort	Wani, Sharyar
title	Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
title_short	Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
title_full	Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
title_fullStr	Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
title_full_unstemmed	Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
title_sort	rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/72821/1/72821_Rule%20based%20modeling%20of%20knowledge%20bases.pdf http://irep.iium.edu.my/72821/2/72821_Rule%20based%20modeling%20of%20knowledge%20bases_SCOPUS.pdf http://irep.iium.edu.my/72821/3/72821_Rule%20based%20modeling%20of%20knowledge%20bases_WOS.pdf http://irep.iium.edu.my/72821/ https://ieeexplore.ieee.org/document/8560901
_version_	1643620220840968192
score	13.211869

Rule based modeling of knowledge bases: rule based construction of knowledge base models for automation/expert systems

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