Towards extracting flickr tag semantics

ABSTRACT

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.

REFERENCES

• 1: Flickr.com. http://www.flickr.com.
• 2: Alexandar Jaffe , Mor Naaman , Tamir Tassa , Marc Davis, Generating summaries and visualization for large collections of geo-referenced photographs, Proceedings of the 8th ACM international workshop on Multimedia information retrieval, October 26-27, 2006, Santa Barbara, California, USA [doi>10.1145/1178677.1178692]
• 3: M. Kulldorff. Spatial scan statistics: models, calculations, and applications. In Scan Statistics and Applications, p. 303--322, 1999.
• 4: Michail Vlachos , Christopher Meek , Zografoula Vagena , Dimitrios Gunopulos, Identifying similarities, periodicities and bursts for online search queries, Proceedings of the 2004 ACM SIGMOD international conference on Management of data, June 13-18, 2004, Paris, France [doi>10.1145/1007568.1007586]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.m Miscellaneous

General Terms:
Algorithms, Experimentation

Keywords:
event identification, place identification, tagging systems, word semantics