• Title of article

    Upper tag ontology for integrating social tagging data

  • Author/Authors

    Ying Ding1، نويسنده , , Elin K. Jacob1، نويسنده , , Michael Fried2، نويسنده , , Ioan Toma2، نويسنده , , Erjia Yan3، نويسنده , , Schubert Foo4، نويسنده , , Sta?a Milojevi?5، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2010
  • Pages
    17
  • From page
    505
  • To page
    521
  • 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).
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Serial Year
    2010
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Record number

    994179