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Publikācija: Choice of Knowledge Representation Model for Development of Knowledge Base: Possible Solutions

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity State funding for education
Defending: ,
Publication language English (en)
Title in original language Choice of Knowledge Representation Model for Development of Knowledge Base: Possible Solutions
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Authors Sabina Kataļņikova
Leonīds Novickis
Keywords Extended semantic networks; knowledge base; knowledge representation model; semantic networks
Abstract In current society knowledge, information and intelligent computer systems based on knowledge base play a great role. The ability of an intelligent system to efficiently implement its functions depends on the efficiency of organizing knowledge base, and on the fact whether the applied knowledge representation models comply with the set requirements. The article is devoted to the research of the problem of choosing the knowledge representation models. Based on the requirement analysis for knowledge representation models, one of the solutions for the researched problem shown is application of extended semantic networks. Analysis of extended semantic networks’ properties is carried out, as well as relevant examples of representing knowledge of extended semantic networks’ application for various spheres offered.
DOI: 10.14569/issn.2156-5570
Reference Kataļņikova, S., Novickis, L. Choice of Knowledge Representation Model for Development of Knowledge Base: Possible Solutions. International Journal of Advanced Computer Science and Applications (IJACSA), 2018, Vol.9, No.2, pp.358-363. ISSN 2158-107X. e-ISSN 2156-5570. Available from: doi:10.14569/issn.2156-5570
ID 27304