Computer
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Enhancing the navigability of social tagging systems with tag taxonomies
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
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With the rapidly increasing popularity of social sharing sites, the traditional manual indexing techniques are no longer feasible to cope with the growing amount of multimedia content. Emerging folksonomies of user tags through crowdsourcing provide a potential for the collaborative annotation of various types of online multimedia resources. However, the shortcomings of folksonomies still present researchers with challenges to effectively use the collected user tags in professional or public collections. Examples of such challenges are determining how to tackle the quality of tags, to understand tags' meaning and relevance to the resource material, and to define quality parameters of the final (targeted) annotations of multimedia resources. This work addresses such challenges in a concrete use case -- the crowdsourcing video annotation game called Waisda?. This game is used to collect user tags for videos from the Dutch National Audiovisual Archive 'Sound and Vision'. In this paper we explore the interactive aspects of a post-game crowdsourcing tool called 'Tag Gardening' for curating user tags. We tackle the challenges of bringing out quality and extracting meaning from the user tags in order to finally achieve satisfactory video annotations.