ACM SIGKDD Explorations Newsletter
Usage patterns of collaborative tagging systems
Journal of Information Science
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Semantic Enrichment of Folksonomy Tagspaces
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Contextualising tags in collaborative tagging systems
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Recommending New Tags Using Domain-Ontologies
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
The impact of ambiguity and redundancy on tag recommendation in folksonomies
Proceedings of the third ACM conference on Recommender systems
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Collaborative tagging as a tripartite network
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Reorganizing clouds: A study on tag clustering and evaluation
Expert Systems with Applications: An International Journal
Semantic disambiguation and contextualisation of social tags
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Folkview: a multi-agent system approach to modeling folksonomies
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Finding similar items by leveraging social tag clouds
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Sense induction in folksonomies: a review
Artificial Intelligence Review
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Tag-based systems have become very common for online classification thanks to their intrinsic advantages such as self-organization and rapid evolution. However, they are still affected by some issues that limit their utility, mainly due to the inherent ambiguity in the semantics of tags. Synonyms, homonyms, and polysemous words, while not harmful for the casual user, strongly affect the quality of search results and the performances of tag-based recommendation systems. In this paper we rely on the concept of tag relatedness in order to study small groups of similar tags and detect relationships between them. This approach is grounded on a model that builds upon an edge-colored multigraph of users, tags, and resources. To put our thoughts in practice, we present a modular and extensible framework of analysis for discovering synonyms, homonyms and hierarchical relationships amongst sets of tags. Some initial results of its application to the delicious database are presented, showing that such an approach could be useful to solve some of the well known problems of folksonomies.