| Summary: | The methodological approach to controlling the level of intentions about new knowledge in the field of artificial intelligence, which are expressed by organizational systems in the scientific industry and in the real sector of the economy, is investigated. Control is carried out in a digital platform based on semantic databases, which are structured under control concepts, under data entity accounting strategies, under the functions of the implementation management process and under the requirements for the timeliness of data transmission. The novelty lies in the ranking of studies depending on the degree of coincidence of intentions. The practical significance is manifested in the priority provision of new knowledge, which is most significant in the digital economy.
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