Martin Sailer, Yu. F. Georgiev, G. Mitov, M. Guentchev
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A memory-based structural model for knowledge management and transfer
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.
期刊介绍:
Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.