Abstract
Several concepts related to knowledge have emerged recently: knowledge management, knowledge society, knowledge engineering, knowledge bases, etc. We are here specifically interested in “scientific knowledge” in the context of student learning assessment. Therefore, we develop a framework within which knowledge is decomposed into grains called knowlets so that it can be quantified. Knowledge becomes then a measurable quantity in very much the same way information is known to be a measurable quantity (in the sense of Shannon’s information theory). We then define an appropriate metric that we use in the specific domain of learning assessment. The proposed framework may be utilized for knowledge acquisition in the context of ontology learning and population.
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Braham, R. (2013). A Quantitative Knowledge Measure and Its Applications. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2010. Communications in Computer and Information Science, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29764-9_13
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DOI: https://doi.org/10.1007/978-3-642-29764-9_13
Publisher Name: Springer, Berlin, Heidelberg
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