Echarte, F., Astrain, J. J., Córdoba, A., Villadangos, J. E. & Labat, A. (2011). A self-adapting method for knowledge management in collaborative and social tagging systems.. In M. A. Musen & Ó. Corcho (eds.), K-CAP (p./pp. 175-176),: ACM.ISBN: 978-1-4503-0396-8 

Radelaar, J., Boor, A.-J., Vandic, D., van Dam, J.-W., Hogenboom, F. & Frasincar, F. (2011). Improving the Exploration of Tag Spaces Using Automated Tag Clustering. In S. Auer, O. Díaz & G. Papadopoulos (ed.),Web Engineering, Vol. 6757 (pp. 274-288). Springer Berlin / Heidelberg. 

Venetis, P., Koutrika, G. & Garcia-Molina, H. (2011). On the selection of tags for tag clouds. Proceedings of the fourth ACM international conference on Web search and data mining (p./pp. 835--844),Hong Kong, China: ACM.ISBN: 978-1-4503-0493-1 

Trabelsi, C., Jrad, A. B. & Yahia, S. B. (2010). Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations. Proceedings of the 2010 IEEE International Conference on Data Mining Workshops (p./pp. 369--379),: IEEE Computer Society.ISBN: 978-0-7695-4257-7 
, P. D. & Pantel, P. (2010). From Frequency to Meaning: Vector Space Models of Semantics .  (cite arxiv:1003.1141)

Barla, M. & Bielikov�, M. (2009). On Deriving Tagsonomies: Keyword Relations Coming from Crowd.. In N. T. Nguyen, R. Kowalczyk & S.-M. Chen (eds.), Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent System (p./pp. 309-320),: Springer.ISBN: 978-3-642-04440-3 

Costa, R. A., Silva, E. M., Neto, M. G., Delgado, D. B., Ribeiro, R. A. & Meira, S. R. L. (2009). Social Knowledge Management in Practice: A Case Study.. In L. Carriço, N. Baloian & B. Fonseca (eds.), CRIWG (p./pp. 94-109),: Springer.ISBN: 978-3-642-04215-7 
, M., El-Beltagy, S. R. & Rafea, A. (2009). Ontology learning from domain specific web documents. International Journal of Metadata, Semantics and Ontologies, 4, 24-33(10).  doi: doi:10.1504/IJMSO.2009.026251

Meo, P. D., Quattrone, G. & Ursino, D. (2009). Exploitation of semantic relationships and hierarchical data structures to support a user in his annotation and browsing activities in folksonomies. Information Systems, 34, 511--535.  doi: DOI: 10.1016/j.is.2009.02.004

Bullinaria, J. (2008). Semantic Categorization Using Simple Word Co-occurrence statistics. ,.

Suchanek, F. M., Vojnovic, M. & Gunawardena, D. (2008). Social tags: meaning and suggestions. Proceeding of the 17th ACM conference on Information and knowledge management (p./pp. 223--232),Napa Valley, California, USA: ACM.ISBN: 978-1-59593-991-3 

Tesconi, M., Ronzano, F., Marchetti, A. & Minutoli, S. (2008). Semantify del.icio.us: Automatically Turn your Tags into Senses. Proceedings of the Workshop Social Data on the Web (SDoW2008),.
, J. & Levy, J. (2007). Extracting semantic representations from word co-occurrence statistics: A computational study. Behavior Research Methods, , 510. 

Cregan, A. (2007). Symbol Grounding for the Semantic Web. In E. Franconi, M. Kifer & W. May (ed.),The Semantic Web: Research and Applications, Vol. 4519 (pp. 429-442). Springer. 

Gabrilovich, E. & Markovitch, S. (2007). Computing semantic relatedness using wikipedia-based explicit semantic analysis. Proceedings of the 20th International Joint Conference on Artificial Intelligence (p./pp. 6--12),.

Specia, L. & Motta, E. (2007). Integrating Folksonomies with the Semantic Web.  (p./pp. 624-639),: Springer Berlin / Heidelberg.

Afsharchi, M. & Far, B. H. (2006). Automated ontology evolution in a multi-agent system. Proceedings of the 1st international conference on Scalable information systems,Hong Kong: ACM.ISBN: 1-59593-428-6 

Kipp, M. E. I. (2006). Exploring the context of user, creator and intermediate tagging. ASIS&T 2006 Information Architecture Summit, March, .

Giunchiglia, F., Shvaiko, P. & Yatskevich, M. (2004). S-Match: an Algorithm and an Implementation of Semantic Matching. In C. Bussler, J. Davies, D. Fensel & R. Studer (ed.),The Semantic Web: Research and Applications, Vol. 3053 (pp. 61-75). Springer. 

Fayyad, U. M., Piatetsky-Shapiro, G. & Smyth, P. (1996). Advances in knowledge discovery and data mining. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth & R. Uthurusamy (ed.), (pp. 1--34). American Association for Artificial Intelligence. ISBN: 0-262-56097-6.