LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Leveraging multi-faceted tagging to improve search in folksonomy systems
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Generating resource profiles by exploiting the context of social annotations
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Context determines content: an approach to resource recommendation in folksonomies
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
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In this paper we present a model for multifaceted tagging, i.e. tagging enriched with contextual information. We present TagMe!, a social tagging front-end for Flickr images, that provides multifaceted tagging functionality: It enables users to attach tag assignments to a specific area within an image and to categorize tag assignments. Moreover, TagMe! maps tags and categories to DBpedia URIs to clearly define the meaning of freely-chosen words. Our experiments reveal the benefits of these additional tagging facets. For example, the exploitation of the facets significantly improves the performance of FolkRank-based search. Further, we demonstrate the benefits of TagMe! tagging facets for learning semantics within folksonomies.