Where knowledge is beyond a machines "knowledge": taxonomy classifications

A machine had to believe a classification (de) if it were able to do something like believing. That is because of the absence of knowledge which would enable the machine to judge what notion is a narrower than another: There is no such knowledge. There are only a assignments between broader and narrower terms and associative relationships etc. But the knowledge a machine would need to verify those assignments is missing: A machine were able to verify the assignment, if it would know how far//by what broader and narrower term are similar and where they differ. – A classification could provide this data. That would be an other assignement. But if a machine had its own data structure providing this kind of data – would that be knowledge or just assignments as well?<<

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[locally referred by: ./. ]