Abstract
The paper analyzes the problem of expressing tacit knowledge by participants in social processes interacting through ICT. This unsolved problem prevents organizing the human–machine interaction, which with due completeness and efficiency would take into account the vast social experience of people. The research question is how we can extract individual tacit knowledge and so formalize it? Answered this question, we could process information with ICT more meaningfully especially when humans need to team working. To solve the problem of expressing tacit knowledge by participants in social processes, we propose that any human within ICT would express his tacit knowledge by means of natural language. In this way, we preserve its essential role in social communication. However, the tacit knowledge should assume not the traditional form of a text stream, but structural view obtained by using special visual linking mechanism (VLM) associating natural language utterances. The paper examines the foundations of the introduction and structure of the VLM. How a person can apply the mechanism is explained through an example of the expression of tacit knowledge, functioning as part of human common ideas.
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Notes
- 1.
“//” is a short notation, meaning that the statement to the right of the notation is the context for the statement to the left. Denoting verbal statements in uppercase, we want to emphasize that being linked by VLM they become operable by special algorithms processing data got by VLM (see below, an example).
- 2.
The drawing is built using our test program Diagogue, that embodies VLM, and program Graphviz [41].
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Kanygin, G., Kononova, O. (2021). Conceptual Approach to Express Tacit Knowledge by Human–Machine Interactions. In: Zaramenskikh, E., Fedorova, A. (eds) Digital Transformation and New Challenges. Lecture Notes in Information Systems and Organisation, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-030-71397-3_5
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