Collaborative tagging is one of the most diffused and popular services available online services. The important purpose of collaborative tagging is to loosely classify resources based on end-user’s feedback. Tagging allows end user to loosely classify either offline or online resources based on their feedback, expressed in the form of tags. In this paper focus on the privacy-preserving collaborative tagging service, by showing different and specific privacy-enhancing technology with namely tag suppression model. Tag suppression model can be used to protect end-user privacy. In addition, it analyzes the different multi language filtering model approach can used to effectiveness of a policy-based collaborative tagging system that supports enhanced web access functionalities, like content filtering and discovery, based on preferences specified by end users. The proposed enhanced policy based collaborative tagging makes the privacy enhancing technology with tag suppression methodology. The users tag resources on the web helpful their personal preferences. In order to prevent privacy attackers from profiling users based on their interests, to abstain from tagging definite resources. Tag suppression protects user’s privacy to a certain level at the cost of semantic loss acquired by suppressing tags.
 P. Mika, “Ontologies Are Us: A Unified Model of Social Networks and Semantics,” Proc. Int’l Semantic Web Conf. (ISWC ’05), Y. Gil, E. Motta, V. Benjamins, and M. Musen, eds., pp. 522-536, 2005.  X. Wu, L. Zhang, and Y. Yu, “Exploring Social Annotations for the Semantic Web,” Proc. 15th Int’l World Wide Web Conf. (WWW), pp. 417-426, 2006.  B. Markines, C. Cattuto, F. Menczer, D. Benz, A. Hotho, and S.Gerd, “Evaluating Similarity Measures for Emergent Semantics of Social Tagging,” Proc. 18th Int’l Conf. World Wide Web (WWW), pp. 641-650, 2009.  C. Marlow, M. Naaman, D. Boyd, and M. Davis, “HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, to Read,” Proc. 17th Conf. Hypertext and Hypermedia (H PERTEXT), pp. 31-40, 2006.  B. Carminati, E. Ferrari, and A. Perego, “Combining Social Networks and Semantic Web Technologies for Personalizing Web Access,” Proc. Fourth Int’l Conf. Collaborative Computing: Networking, Applications and Worksharing, pp. 126-144, 2008.  R. Gross and A. Acquisti, “Information Revelation and Privacy in Online Social Networks,” Proc. ACM Workshop Privacy Electronic Soc. (WPES), pp. 71-80, 2005.  S.B. Barnes, “A Privacy Paradox: Social Networking in the United States,” First Monday, vol. 11, no. 9, Sept. 2006.  J. Parra-Arnau, D. Rebollo-Monedero, and J. Forne ´, “A Privacy- Preserving Architecture for the Semantic Web Based on Tag Suppression,” Proc. Seventh Int’l Conf. Trust, Privacy, Security, Digital Business (TrustBus), pp. 58-68, Aug. 2010.  J. Vob, “Tagging, Folksonomy & Co – Renaissance of Manual Indexing?” Computer Research Repository, vol. abs/cs/0701072, 2007.  G. Adomavicius and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions,” IEEE Trans. Knowledge Data Eng., vol. 17, roc. 15th Int. Conf. Multimedia, 2007, pp. 631–640.
Web Services, Collaborative tag, tag suppression, policy management, multi language model filtering.