A memory-based structural model for knowledge management and transfer

Martin H. M. Sailer, Yuriy Georgiev, Gergo Mitov and Marin Guentchev

Knowledge Management Research & Practice, 2022, vol. 20, issue 4, 654-660

Abstract: In this paper, we aimed to develop a system for knowledge management mimicking the memory in the human brain. This system was used to create a multilingual guide for patients suffering from disorders of the spine. We viewed the transfer of knowledge as the transmission of a chain of small, interchangeable, semantic units. We defined the smallest amount of information that can be accurately communicated as a Knowledge Transfer Unit (KTU). Combining these KTUs in different sequences allowed us to create text chapters on more than 70 diseases. Through using KTUs, we reduced the number of characters by 72%, from 528,821 in the final output files to only 147,451 in our text database. In this paper, we present a new tool for knowledge management and transfer mimicking the process of integration of information and information recall within the human memory.

Date: 2022
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DOI: 10.1080/14778238.2021.2015263

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