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Perspectives on social tagging

Author

Listed:
  • Ying Ding
  • Elin K. Jacob
  • Zhixiong Zhang
  • Schubert Foo
  • Erjia Yan
  • Nicolas L. George
  • Lijiang Guo

Abstract

Social tagging is one of the major phenomena transforming the World Wide Web from a static platform into an actively shared information space. This paper addresses various aspects of social tagging, including different views on the nature of social tagging, how to make use of social tags, and how to bridge social tagging with other Web functionalities; it discusses the use of facets to facilitate browsing and searching of tagging data; and it presents an analogy between bibliometrics and tagometrics, arguing that established bibliometric methodologies can be applied to analyze tagging behavior on the Web. Based on the Upper Tag Ontology (UTO), a Web crawler was built to harvest tag data from Delicious, Flickr, and YouTube in September 2007. In total, 1.8 million objects, including bookmarks, photos, and videos, 3.1 million taggers, and 12.1 million tags were collected and analyzed. Some tagging patterns and variations are identified and discussed.

Suggested Citation

  • Ying Ding & Elin K. Jacob & Zhixiong Zhang & Schubert Foo & Erjia Yan & Nicolas L. George & Lijiang Guo, 2009. "Perspectives on social tagging," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2388-2401, December.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:12:p:2388-2401
    DOI: 10.1002/asi.21190
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    Cited by:

    1. Xuwei Pan & Shenglan He & Xiyong Zhu & Qingmiao Fu, 2016. "How users employ various popular tags to annotate resources in social tagging: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1121-1137, May.
    2. Chunneng Huang & Tianjun Fu & Hsinchun Chen, 2010. "Text‐based video content classification for online video‐sharing sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 891-906, May.
    3. Judit Bar‐Ilan & Maayan Zhitomirsky‐Geffet & Yitzchak Miller & Snunith Shoham, 2010. "The effects of background information and social interaction on image tagging," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 940-951, May.
    4. Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).

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