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Proceedings of the thirteenth ACM international conference on Information and knowledge management
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Proceedings of the 16th international conference on World Wide Web
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ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
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WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
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Proceedings of the 17th ACM conference on Information and knowledge management
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ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
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Decision Support Systems
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Decision Support Systems
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Proceedings of the 2011 ACM Symposium on Applied Computing
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ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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Decision Support Systems
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In this paper we propose the Semantic Tag Clustering Search (STCS) framework for enhancing the user experience in interacting with tagging systems. This framework consists of three parts. The first part deals with syntactic variations by finding clusters of tags that are syntactic variations of each other and assigning labels to them. The second part of the framework addresses the problem of the lack of semantics in tagging systems by recognizing contexts and constructing semantic clusters for tags. The last, and final part of the STCS framework, utilizes the clusters obtained from the first two parts to improve the search and exploration of tag spaces. For removing syntactic variations, we use the normalized Levenshtein distance and the cosine similarity measure based on tag co-occurrences. For creating semantic clusters, we employ two non-hierarchical and two hierarchical clustering techniques. To evaluate the value of the semantic clusters, we develop a Web application called XploreFlickr.com for searching and browsing through Flickr resources.