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Building a granular knowledge monitor: An application of the A.U.R.A framework

Gaining the ability to identify, assess and display what knowledge a user holds, especially in a digital environment that is designed to facilitate it's exchange, is of great value. In this paper the authors will present a newly designed framework for this task and a prototype to demonstrate it's applicability. The introduced framework will be able to cope with different data types, as well as explicitly and implicitly provided information. Furthermore, is being ensured that the various characteristics of knowledge, such as vagueness, imprecision and abstraction are accounted for. The developed prototype is presented in the final section of this paper.