WordNet: a lexical database for English
Communications of the ACM
Modern Information Retrieval
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Exploring social annotations for web document classification
Proceedings of the 2008 ACM symposium on Applied computing
Towards a Tag-Based User Model: How Can User Model Benefit from Tags?
UM '07 Proceedings of the 11th international conference on User Modeling
Tag-based filtering for personalized bookmark recommendations
Proceedings of the 17th ACM conference on Information and knowledge management
The Metadata Triumvirate: Social Annotations, Anchor Texts and Search Queries
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Getting the most out of social annotations for web page classification
Proceedings of the 9th ACM symposium on Document engineering
Web Page Classification Using Social Tags
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
IEEE Transactions on Knowledge and Data Engineering
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Tags vs shelves: from social tagging to social classification
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
RED'10 Proceedings of the Third international conference on Resource Discovery
Exploiting the Social Tagging Network for Web Clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The Knowledge Engineering Review
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
A self-adapted method for the categorization of social resources
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Social or collaborative tagging systems emerged as a novel classification scheme on the Web based on the collective knowledge of people. In sites such as Del.icio.us, Technorati or Flickr, users annotate a variety of resources, including Web pages, blogs, pictures, videos or bibliographic references; using freely chosen textual labels or tags. Underlying collaborative tagging systems are ternary data structures known as folksonomies relating resources and users through tags, this information facilitate accessing and browsing massive repositories of resources. Collective annotations provided by people in the form of tags can also be exploited to organize resources on-line in a more formal classification scheme such as the ones provided by hierarchies or directories, alleviating the task of manual classification commonly required by systems like directories on the Web. In this paper we present an empirical study carried out to determine the value of tags in resource classification. Furthermore, the use of several filtering and pre-processing operations to reduce the ambiguity and noise in tags are analyzed to determine whether they allow to increase the quality of resource classification.