By modelling tags not as text keywords but as RDF resources, we also improve on the ways folksonomies can be grown. In existing implementations of text keyword-based tagging, if two users use the same keyword, the items they tag are “collapsed” under the same branch of the taxonomy. This behavior is undesirable when the two users actually meant different things by the same keyword (., “apple” the fruit and “apple” the computer company). Conversely, if two us- ers use two different keywords to mean the same thing, the items they tag are not “collapsed” and hence fall under different branches of.
