InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Towards effective browsing of large scale social annotations
Proceedings of the 16th international conference on World Wide Web
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting Wikipedia for Directional Inferential Text Similarity
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Efficient network aware search in collaborative tagging sites
Proceedings of the VLDB Endowment
Overview of iCLEF 2008: search log analysis for multilingual image retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
iCLEF 2006 Overview: searching the flickr WWW photo-sharing repository
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Improving Folksonomies Using Formal Knowledge: A Case Study on Search
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Content redundancy in YouTube and its application to video tagging
ACM Transactions on Information Systems (TOIS)
Query expansion in folksonomies
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Context determines content: an approach to resource recommendation in folksonomies
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Semantic similarity measures for enhancing information retrieval in folksonomies
Expert Systems with Applications: An International Journal
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People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries. In this paper, we explore two dimensions of semantic relationships between tags, based on the context and the distribution of tags. We exploit semantic relationships between tags to reduce sparseness in Folksonomies and propose different enriched vector space models. We also propose a vector space model Best of Breed which utilizes appropriate enrichment method based on the type of the query. We evaluate the proposed methods on a large dataset of 27 million resources, 92 thousand tags and 94 million tag assignments. Experimental results show that the enriched vector space models help in improving search, especially for the rare queries which have few relevant resources in the sparse data.