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Saturday, 7th March 2009

Research Paper: Classifying Tags using Open Content Resources

From the Abstract:

Tagging has emerged as a popular means to annotate on-line objects such as bookmarks, photos and videos. Tags vary in semantic meaning and can describe different aspects of a media object. Tags describe the content of the media as well as locations, dates, people and other associated meta-data. Being able to automatically classify tags into semantic categories allows us to understand better the way users annotate media objects and to build tools for viewing and browsing the media objects. In this paper we present a generic method for classifying tags using third party open content resources, such as Wikipedia and the Open Directory. Our method uses structural patterns that can be extracted from resource meta-data.

Direct to Complete Paper (10 pages; PDF)

Source: Second ACM International Conference on Web Search and Data Mining (WSDM 2009), ACM, Barcelona, Spain (2009) (via Yahoo Research)


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