The article presents the results of a study on the development of a knowledge management system in an enterprise based on the concept of knowledge management. Considered guesses on the functional scheme in the concept of the system. A scheme of the system is proposed by analogy with a local OLAP cube. A heuristic algorithm for detecting knowledge in data is constructed. A heuristic algorithm for detecting knowledge in data is constructed. A mathematical description of the algorithm based on the methods of first-order logic, the production model of knowledge representation and methods of knowledge discovery in data and intellectual analysis is given. Based on previous studies on the development of methods for extracting knowledge from data, a combined method is proposed that, when processing tables, forms a knowledge base. The inference engine checks the statement (hypothesis) in the received request from the request source. The algorithm is written in Python.
key words: knowledge management systems, knowledge discovery in data and data mining, logical calculus, predicate logic calculus. intelligent systems.
