Aerospace Technic and Technology

The subject of the study in this article is the synthesis of multifactorial, predominantly eight-factor graphical logical-semantic models for knowledge representation with an open architecture for knowledge bases. The aim is to provide a theoretical description of the stages in developing these models and practical recommendations for their design. Tasks include: analyzing fundamental theoretical and practical principles of didactic multidimensional technology and characteristics of existing multifactorial logical-semantic knowledge representation models, identifying their strengths and weaknesses; defining the research methodology; analyzing theoretical principles for creating multifactorial logical-semantic knowledge representation models and identifying issues requiring solution; examining characteristics of didactic multidimensional instrumental models; researching eight-factor architectures of logical-semantic knowledge representation models; developing a method for designing logical-semantic knowledge representation models; advancing the method for forming two-factor logical-semantic knowledge representation models; practically implementing the logical-semantic physical (first level) knowledge representation model for multifactorial models; and summarizing research results and outlining future research directions in the field of modeling knowledge for open-architecture knowledge bases. The following results were obtained: Analysis of the literature sources indicates that current information technology implementations mainly focus on artificial intelligence-based tools, such as databases and knowledge bases. However, alternative principles for forming knowledge representation models have also been developed. Conclusions. The scientific novelty of the obtained results lies in the following: establishing the practicality of transitioning from matrices to a tabular form for representing inter-factor (vector) relationships between set elements as a Cartesian product; proposing the use of spreadsheet editors such as Microsoft Excel to form multivector logical-semantic knowledge representation models with any number of factors; determining that the use Microsoft Excel facilitates the implementation of the second and third stages of knowledge base design in the following forms: logical-semantic physical (first level) knowledge representation model; forming logical-semantic physical (second level) knowledge representation model. Additionally, Microsoft Excel supports the administration and management processes for the established knowledge base. However, defining the forms of relationship between elements for Cartesian product operations remains necessary. This issue requires further research and may be the subject of subsequent studies.

logical model of knowledge representation; logical-semantic model of knowledge representation; open architecture knowledge base; semiotics; tabular representation; factor

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