Abstract

Search in folksonomies is impeded by lack of machine understandable descriptions for the meaning of tags and their relations. One approach to addressing this problem is the use of formal knowledge resources (KS) to assign meaning to the tags, mostnotably WordNet and (online) ontologies. However, there is no insight of how the different characteristics of such KS cancontribute to improving search in folksonomies. In this work we compare the two KS in the context of folksonomy search, firstby evaluating the enriched structures and then by performing a user study on searching the folksonomy content through thesestructures. We also compare them to cluster-based folksonomy search. We show that the diversity of ontologies leads to moresatisfactory results compared to WordNet although the latter provides richer structures. We also conclude that the idiosyncrasiesof folksonomies can not be addressed by only using formal KS.

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