The University of Southampton
University of Southampton Institutional Repository

Towards knowledge modeling and manipulation technologies: a survey

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
0268-4012
857-871
Thomas, Bimba Andrew
0f690dcc-d6db-4ca8-9f54-97c55c421133
Idris, Norisma
8c4a3f27-5500-4f68-b56e-84e4ddb4c4ce
Al-Hnaiyyan, Ahmed
c6b970a6-3bdc-47cb-9c9c-4fb3164b1c3f
Binti Mahmud, Rohana
6e59caa6-211b-4eff-9483-d046aabd348d
Abdelaziz, Ahmed
8d5e4d88-0b78-4d38-987e-3ff96bada772
Khan, Suleman
2b2c4ac8-df5b-4abd-bcf3-b06a0b4b989d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Thomas, Bimba Andrew
0f690dcc-d6db-4ca8-9f54-97c55c421133
Idris, Norisma
8c4a3f27-5500-4f68-b56e-84e4ddb4c4ce
Al-Hnaiyyan, Ahmed
c6b970a6-3bdc-47cb-9c9c-4fb3164b1c3f
Binti Mahmud, Rohana
6e59caa6-211b-4eff-9483-d046aabd348d
Abdelaziz, Ahmed
8d5e4d88-0b78-4d38-987e-3ff96bada772
Khan, Suleman
2b2c4ac8-df5b-4abd-bcf3-b06a0b4b989d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4

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), 857-871. (doi:10.1016/j.ijinfomgt.2016.05.022).

Record type: Article

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
Download (855kB)

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

Catalogue record

Date deposited: 27 May 2016 20:21
Last modified: 07 Oct 2020 05:27

Export record

Altmetrics

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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×