Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
The language of folksonomies: what tags reveal about user classification
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Similarity cross-analysis of tag / co-tag spaces in social classification systems
Proceedings of the 2008 ACM workshop on Search in social media
The TicTag application: towards tag-based meta-search for browsing the web
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Artificial Intelligence Review
Integrating ontologies based on P2P mappings
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Modeling consensus semantics in social tagging systems
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
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The recent popularity of social software in the wake of the much hyped “Web2.0” has resulted in a flurry of activity around folksonomies, the emergent systems of classification that result from making public the individual users' personal classifications in the form of simple free form “tags”. Several approaches have emerged in the analysis of these folksonomies including mathematical approaches for clustering and identifying affinities, social theories about cultural factors in tagging, and cognitive theories about their mental underpinnings. In this paper we argue that the most useful analysis is in terms of mental phenomena since naive classification is essentially a cognitive task. We then describe a method for extracting structural properties of free form user tags, based on the linguistic properties of the tags. This reveals some deep insights in the conceptual modeling behavior of naive users. Finally we explore the usefulness of the latent structural properties of free form “tag clouds” for interoperability between folksonomies from different services.