Enabling technology for knowledge sharing
AI Magazine
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Usage patterns of collaborative tagging systems
Journal of Information Science
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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To make the most of a global network effect and to search and filter the Long Tail, a collaborative tagging approach to social search should be based on the global activity of tagging, rating and filtering. We take a further step towards this objective by proposing a shared conceptualization of both the activity of tagging and the organization of the tagosphere in which tagging takes place. We also put forward the necessary data standards to interoperate at both data format and semantic levels. We highlight how this conceptualization makes provision for attaching identity and meaning to tags and tag categorization through a Wikipedia-based collaborative framework. Used together, these concepts are a useful and agile means of unambiguously defining terms used during tagging, and of clarifying any vague search terms. This improves search results in terms of recall and precision, and represents an innovative means of semantics-aware collaborative filtering and content ranking.