Knowledge acquisition process as a problem of information science

What is it about?

The purpose of this paper is to explain why the knowledge acquisition process can be considered as a problem of information science. Accordingly, the existing theoretical basis within the information science - DIKW hierarchy, based on its key concepts - data, information, knowledge and wisdom, is recognized as a symbolic representation as well as the theoretical foundation of the knowledge acquisition process. In addition, the history of both - the human and machine knowledge acquisition have been considered, as well as an appropriate modification of the DIKW hierarchy which could result in much more solid theoretical foundation of the knowledge acquisition process and information science as a whole. At the end of the paper, it is explained the theoretical assumptions on which the knowledge acquisition process may be established as a problem of information science. Knowledge acquisition process does not necessarily have to be the subject of epistemology only; equally, it may establish a stronger link between the concepts of data and knowledge; furthermore, it can be used in the context of scientific research, but on the more primitive level than it is the level of conducting of the scientific methods; moreover, the description of this process, as opposed to the other problems of information science, necessarily involves all four DIKW concepts, and finally, the solution of this problem may result by the more complete theory of information.

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