The quality of knowledge that a system has substantially influences it
s performance. Often, the terms ''knowledge'', its ''quality'' and how
it is ''measured'' or ''valuated'', are left vague enough to accommod
ate several ad hoc interpretations. This paper articulates two definit
ions of knowledge and their associated value measures. The paper focus
es on the theory underlying measurements and its application to knowle
dge valuation; it stresses the issue of constructing meaningful measur
es rather than discussing some of the desirable properties of measures
(e.g. reliability or validity). A detailed example of knowledge valua
tion using the measures is described. The example demonstrates the imp
ortance for system understanding and the difficulty of valuating knowl
edge. It shows the importance of employing several different measures
simultaneously for a single valuation. The paper concludes by discussi
ng the scope of and relationships between the measures.