Improving pseudo-relevance feedback in web information retrieval using web page segmentation
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Wisdom of Crowds
Usage patterns of collaborative tagging systems
Journal of Information Science
Human computation
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Collaborative tagging in recommender systems
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
Frontiers of a paradigm: exploring human computation with digital games
Proceedings of the ACM SIGKDD Workshop on Human Computation
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Collaborative Tagging is a powerful method to create folksonomies that can be used to grasp/filter user preferences or enhance web search. Recent research has shown that depending on the number of users and the quality of user-provided tags powerful community-driven semantics or "ontologies" can emerge - as it was evident analyzing user data from social web applications such as del.icio.us or Flickr. Unfortunately, most web pages do not contain tags and, thus, no vocabulary that describes the information provided. A common problem in web page annotation is to motivate users for constant participation, i.e. tagging. In this paper we describe our approach of a binary verification game that embeds collaborative tagging into on-line games in order to produce domain specific folksonomies.