Abstract
This paper investigates the problem of how to model knowledge maturity (KM). It utilizes a flow model that includes five information flow stages: receiving, processing, creation, transfer, and communication. Knowledge is carried in the stream of information flow with continuing improved "maturity." It is proposed that knowledge is the result of cycling between the processing and creation stages. Hence, KM is defined in terms of the frequency of cycling between these two stages. Theoretical applications of this approach are also discussed. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Al-Fedaghi, S. S. (2008). Knowledge maturity based on processing and creation of information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5177 LNAI, pp. 294–303). Springer Verlag. https://doi.org/10.1007/978-3-540-85563-7_41
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