Semantic disambiguation in folksonomy: a case study
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
Evaluating tag filtering techniques for web resource classification in folksonomies
Expert Systems with Applications: An International Journal
A multimedia recommender system based on enriched user profiles
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Characterising emergent semantics in twitter lists
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Personalization in tag ontology learning for recommendation making
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
On-the-fly repair of structural and lexical ontology mismatches in multi-agent systems
Artificial Intelligence Review
Sense induction in folksonomies: a review
Artificial Intelligence Review
Learning personalized tag ontology from user tagging information
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
A classification of semantic annotation systems
Semantic Web
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This paper describes and compares the most relevant approaches for associating tags with semantics in order to make explicit the meaning of those tags. We identify a common set of steps that are usually considered across all these approaches and frame our descriptions according to them, providing a unified view of how each approach tackles the different problems that appear during the semantic association process. Furthermore, we provide some recommendations on (a) how and when to use each of the approaches according to the characteristics of the data source, and (b) how to improve results by leveraging the strengths of the different approaches.