Upper tag ontology for integrating social tagging data

  • Authors:

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

  • Affiliations:

  • School of Library and Information Science, Indiana University, Bloomington, IN 47405;School of Library and Information Science, Indiana University, Bloomington, IN 47405;Institute of Computer Science, University of Innsbruck, Technikerstraße 21a, 6020 Innsbruck, Austria;Institute of Computer Science, University of Innsbruck, Technikerstraße 21a, 6020 Innsbruck, Austria;School of Library and Information Science, Indiana University, Bloomington, IN 47405;Division of Information Studies, Nanyang Technological University, Singapore;School of Library and Information Science, Indiana University, Bloomington, IN 47405

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2010

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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). © 2010 Wiley Periodicals, Inc.