Usage patterns of collaborative tagging systems
Journal of Information Science
TagPlus: A Retrieval System using Synonym Tag in Folksonomy
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Diversifying image search with user generated content
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
RichVSM: enRiched vector space models for folksonomies
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Reducing Ambiguity in Tagging Systems with Folksonomy Search Expansion
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Evaluating the semantic web: a task-based approach
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative
Proceedings of the international conference on Multimedia information retrieval
Using machine learning to support continuous ontology development
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Semantic disambiguation and contextualisation of social tags
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Analyzing user behavior across social sharing environments
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
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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, most notably WordNet and (online) ontologies. However, there is no insight of how the different characteristics of such KS can contribute to improving search in folksonomies. In this work we compare the two KS in the context of folksonomy search, first by evaluating the enriched structures and then by performing a user study on searching the folksonomy content through these structures. We also compare them to cluster-based folksonomy search. We show that the diversity of ontologies leads to more satisfactory results compared to WordNet although the latter provides richer structures. We also conclude that the idiosyncrasies of folksonomies can not be addressed by only using formal KS.