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Poster Papers

Track: Social Networks

Paper Title:
Towards Extracting Flickr Tag Semantics


  • Tye Rattenbury (Yahoo! Research Berkeley)
  • Nathan Good (Yahoo! Research Berkeley)
  • Mor Naaman (Yahoo! Research Berkeley)

We address the problem of extracting semantics of tags -- short, unstructured text-labels assigned to resources on the Web -- based on each tag's metadata patterns. In particular, we describe an approach for extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website supporting time and location (latitude/longitude) metadata. The approach can be generalized to other domains where text terms can be extracted and associated with metadata patterns, such as geo-annotated web pages.

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