to_be_classified: A Facet Analysis of a Folksonomy

Abstract

This paper examines the use of the postulational approach to facet analysis to manually induce a faceted classification ontology from a folksonomy. An in-depth study of faceted classification theory is used to form a methodology based on the postulational approach, which is then used to facet analyze a dataset consisting of over 107,000 instances of 1,275 unique tags representing 76 popular non-fiction history books collected from the LibraryThing folksonomy