Abstract
By transferring the DIKW hierarchy to the concept of chain, namely data-information-knowledge-wisdom, the knowledge measure is set up as the logarithm of information, while the information is the logarithm of data, so that knowledge metrics are naturally introduced and the mechanism of Brookes’ basic equation of information science is revealed.
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This chapter is a revision of the original version published at International Journal of Data Science and Analysis, 2016, 2(2): 32–35.
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Ye, F.Y. (2017). Measuring Knowledge: A Quantitative Approach to Knowledge Theory. In: Scientific Metrics: Towards Analytical and Quantitative Sciences. Understanding Complex Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-5936-0_13
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DOI: https://doi.org/10.1007/978-981-10-5936-0_13
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