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Upper tag ontology for integrating social tagging data

Author

Listed:
  • Ying Ding
  • Elin K. Jacob
  • Michael Fried
  • Ioan Toma
  • Erjia Yan
  • Schubert Foo
  • Staša Milojević

Abstract

Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata generated by bookmarking sites on the Social Web. While several existing ontologies have capitalized on the semantics of metadata created by tagging activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies. UTO is described and its utility in modeling, harvesting, integrating, searching, and analyzing data is demonstrated with metadata harvested from three major social tagging systems (Delicious, Flickr, and YouTube).

Suggested Citation

  • Ying Ding & Elin K. Jacob & Michael Fried & Ioan Toma & Erjia Yan & Schubert Foo & Staša Milojević, 2010. "Upper tag ontology for integrating social tagging data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 505-521, March.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:3:p:505-521
    DOI: 10.1002/asi.21271
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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. Simona Ibba & Filippo Eros Pani, 2016. "Digital Libraries: The Challenge of Integrating Instagram with a Taxonomy for Content Management," Future Internet, MDPI, vol. 8(2), pages 1-15, May.

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