Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
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Social tagging system, also noted as folksonomies, is an important way for users to describe resources on the Web. Because of the continually changing and informal definition, the semantics of these social tags are ambiguous and hard to adopt for web applications. In this paper, we propose a method to attach semantic topic sense to tags. The non-negative matrix factorization (NMF) is performed to find the hidden topics in the folksonomy. A novel automatic evaluation method is also proposed to measure our approach. Our evaluation shows that the topic sense induction in a folksonomy allows for precise and complete search, which is one of the key functionalities in social tagging systems.