The document summarizes techniques for improving collaborative tagging. It discusses tag suppression, tripartite clustering, and a proposed web-based social network (WBSN) architecture. The proposed techniques aim to address privacy and enhance functionality in collaborative tagging systems. Tripartite clustering simultaneously clusters resources, users, and tags using links in the social tagging network. The WBSN architecture incorporates a bookmarking service and additional services for tag suppression and privacy preservation to broaden collaborative tagging capabilities while preserving user privacy.

1. “Some Observation on Collaborative Tagging Techniques”: A Review
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2. CONTENT
1. INTRODUCTION
2. COLLABORATIVE TAGGING
3. TECHNIQUIES USED
4. TAG SUPPRESION
5. TRIPARTTITE CLUSTERING
6. PROPOSED WBSN ARCHITECTURE
7. CONCLUSION
8. REFERENCE
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3. 1. INTRODUCTION
Social Tagging, also known as Social Annotation
or Collaborative Tagging. Social annotation is one of
the most diffused and popular services available
online that allows users to annotate resources with
free-form tags. The main purpose of social
annotation is to loosely classify resources based on
end-user’s feedback, expressed in the form of free-
text labels (i.e., tags).
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4. Collaborative tagging is one of the most diffused
and popular services available online. First
provided by social bookmarking sites only for
example, Delicious (http://delicious.comby nearly
any type of social web application, and it is used to
annotate any kind of online and offline resources.
2. COLLABORATIVE
TAGGING
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5. 3. PROPOSED WORK
Authors provided their proposed work for
improving the many aspects of collaborative
tagging.
The Proposed techniques are:
1.Tag Suppression
2.Tripartite Clustering
3.Proposed WBSN Architecture
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6. 4. TAG SUPPRESION
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7. 5. TRIPARTTITE CLUSTERING
“Tripartite Clustering” which clusters the three types of nodes
(resources, users, and tags) simultaneously by only utilizing the
links in the social tagging network.
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8. The system we propose is based on a Web-based
Social Network, where members are able not only to
specify labels, but also to rate existing labels.
Both labels and ratings are then used to assess the
trustworthiness of resources’ descriptions and to
enforce Web access personalization.
6. WBSN Proposed Architecture
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9. 7. CONCLUSION
The proposed techniques provided here are widely acceptable
and improved the current scenario of social annotation.
An architecture that incorporates two layers on support
of enhanced and private collaborative tagging. More
pecifically, the proposed architecture consists of a
bookmarking service and two additional services built
on it.The latter implements tag suppression, a privacy-
Preserving technology based on data perturbation.
The combination of these two services allows us then to
broaden the functionality of collaborative tagging systems
and, at the same time, provide users with a mechanism to
preserve their privacy while tagging.
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10. 8. REFERENCE
[1] Javier Parra-Arnau, Andrea Perego, Elena Ferrari, Jordi Forne, and
David Rebollo-Monedero, “Privacy-Preserving Enhanced Collaborative
Tagging” Proc. IEEE Transaction on Knowledge and Data Engineering,
vol. 26, no. 1, January 2014.
[2] Caimei Lu, Xiaohua Hu and Jung-ran Park, “Exploiting the Social Tagging
Network
For Web Clustering” Proc. IEEE Transactions on systems, man, and
Cybernetics—part a: systems and humans, vol. 41, no. 5, September 2011.
[3] 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
work sharing, pp. 126-144, 2008.
[4]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 (Trust Bus), pp. 58-68, Aug. 2010.
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