Towards knowledge modeling and manipulation technologies: A survey. Issue 6 (December 2016)

• Record Type: Journal Article
• Authors: Bimba, Andrew Thomas; Idris, Norisma; Al-Hunaiyyan, Ahmed; Mahmud, Rohana Binti; Abdelaziz, Ahmed; Khan, Suleman; Chang, Victor
• Is Part Of: International journal of information management. Volume 36:Issue 6(2016:Dec.)Part A
• Page Start: 857
• Page End: 871
• Publication Date: 2016-12
• Subjects: Knowledge acquisition -- Knowledge-based business -- Linguistic knowledge base -- Ontology -- Expert knowledge base -- Cognitive knowledge base; Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2016.05.022
• Languages: English
• ISSNs: 0268-4012

Abstract

Highlights: We identified different knowledge base modelling and manipulation techniques based on 4 categories. Compared knowledge base modelling and manipulation technologies based on their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. We discussed the relevance of knowledge-based business. We proposed a promising technique for knowledge-based business management and other knowledge related applications. 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.