Towards knowledge modeling and manipulation technologies: a survey
Towards knowledge modeling and manipulation technologies: a survey
A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.
knowledge acquisition, knowledge-based business, linguistic knowledge base, ontology, expert knowledge base, cognitive knowledge base
857-871
Thomas, Bimba Andrew
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Idris, Norisma
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Al-Hnaiyyan, Ahmed
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Binti Mahmud, Rohana
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Abdelaziz, Ahmed
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Khan, Suleman
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Chang, Victor
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1 December 2016
Thomas, Bimba Andrew
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Idris, Norisma
8c4a3f27-5500-4f68-b56e-84e4ddb4c4ce
Al-Hnaiyyan, Ahmed
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Binti Mahmud, Rohana
6e59caa6-211b-4eff-9483-d046aabd348d
Abdelaziz, Ahmed
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Khan, Suleman
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Chang, Victor
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Thomas, Bimba Andrew, Idris, Norisma, Al-Hnaiyyan, Ahmed, Binti Mahmud, Rohana, Abdelaziz, Ahmed, Khan, Suleman and Chang, Victor
(2016)
Towards knowledge modeling and manipulation technologies: a survey.
International Journal of Information Management, 36 (6), .
(doi:10.1016/j.ijinfomgt.2016.05.022).
Abstract
A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.
Text
IJIM_knowledge_modelling_accepted.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 28 May 2016
Published date: 1 December 2016
Keywords:
knowledge acquisition, knowledge-based business, linguistic knowledge base, ontology, expert knowledge base, cognitive knowledge base
Organisations:
Electronics & Computer Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 396010
URI: http://eprints.soton.ac.uk/id/eprint/396010
ISSN: 0268-4012
PURE UUID: 50c26c5f-f1c4-4c7a-951e-ce2c162751b2
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Date deposited: 27 May 2016 20:21
Last modified: 15 Mar 2024 05:37
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Contributors
Author:
Bimba Andrew Thomas
Author:
Norisma Idris
Author:
Ahmed Al-Hnaiyyan
Author:
Rohana Binti Mahmud
Author:
Ahmed Abdelaziz
Author:
Suleman Khan
Author:
Victor Chang
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