文章基本信息

标题：Choice of Knowledge Representation Model for Development of Knowledge Base: Possible Solutions
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作者：Sabina Katalnikova ; Leonids Novickis
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2018
卷号：9
期号：2
DOI：10.14569/IJACSA.2018.090249
出版社：Science and Information Society (SAI)
摘要：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.
关键词：Extended semantic networks; knowledge base; knowledge representation model; semantic networks