Development and management of product knowledge base
Annotatsiya
The design and management of a product knowledge base (PKB) brings forward important aspects in the field of information technology. This article discusses strategies for creating and effectively managing a system based on production rules. The theoretical and practical foundations of PBP design are analyzed, with attention paid to the generation of knowledge from voluminous information data. The paper proposes an algorithm for structuring a subject area through its description using knowledge, which serves as the basis for creating a production knowledge base. The paper highlights the issue of the need to develop algorithms for determining information sets with cause and effect properties, aimed at eliminating subjectivity in the formation of the subject area and information sets. The process of formalizing the concepts of “data” and “information” builds an analytical definition of “knowledge”. In this work, based on production knowledge, the concept of “fractality of knowledge” is introduced, and an algorithm for designing a fractal production knowledge base (FPKB) is proposed. The control algorithm of the FPBZ is also presented, and the decision-making procedure is based on the evaluation algorithm (ABO), designed to give the system universality in the sense of its functionality.