Semantic adaptive social web

  • Authors:
  • Federica Cena;Antonina Dattolo;Ernesto William De Luca;Pasquale Lops;Till Plumbaum;Julita Vassileva

  • Affiliations:
  • Department of Computer Science, University of Turin, Italy;Department of Mathematics and Computer Science, University of Udine, Italy;School IV - Electrical Engineering and Computer Science, Technische Universität Berlin, Germany;Department of Computer Science, University of Bari Aldo Moro, Italy;School IV - Electrical Engineering and Computer Science, Technische Universität Berlin, Germany;Department of Computer Science, University of Saskatchewan, Canada

  • Venue:
  • UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The Social Web, or the so called Web 2.0, is growing daily by the number of users and applications. In this way, a significant part of newly generated Web content and traffic is created by the users itself. They create, connect, comment, tag, rate, remix, upload, download, new or existing resources in an architecture of participation, where user contribution and interaction adds value. Users are also involved in a broad range of social activities like creating social relationships, recommending and sharing resources with friends, creating groups and communities, commenting friends activities and profiles and so on. But not only users benefit from the user-generated content, also social applications profit from that content by using it for personalization and adaptation to user needs.