Advertisement

Semantic Adaptive Social Web

  • Federica Cena
  • Antonina Dattolo
  • Ernesto William De Luca
  • Pasquale Lops
  • Till Plumbaum
  • Julita Vassileva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7138)

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.

Keywords

social semantic web folksonomies adaptation social networks 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Torre, I.: Adaptive systems in the era of the semantic and social web, a survey. User Model. User-Adapt. Interact. 19(5), 433–486 (2009)CrossRefGoogle Scholar
  2. 2.
    Cena, F., Dattolo, A., De Luca, E.W., Lops, P., Plumbaum, T., Vassileva, J.: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  3. 3.
    Dattolo, A., Pitassi, E.: Visualizing and Managing Folksonomies. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 6–14. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  4. 4.
    Fernández-Tobías, I., Cantador, I., Bellogín, A.: cTag: Semantic Contextualisation of Social Tags. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 45–54. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  5. 5.
    Celik, I., Abel, F., Siehndel, P.: Adaptive Faceted Search on Twitter. Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 39–44. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  6. 6.
    Armentano, M.G., Godoy, D., Amandi, A.: Towards a Followee Recommender System for Information Seeking Users in Twitter. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 27–38. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  7. 7.
    Zangerle, E., Gassler, W., Specht, G.: Recommending #-Tags in Twitter. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 67–78. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  8. 8.
    Tandukar, U., Vassileva, J.: Selective Propagation of Social Data in Decentralized Online Social Network. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 15–26. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  9. 9.
    Gaeta, M., Loia, V., Mangione, G.R., Orciuoli, F., Ritrovato, P.: Social Semantic Web Fosters Idea Brainstorming. In: Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011). CEUR Workshop Proceedings, vol. 730, pp. 55–66. RWTH, Aachen (2011) ISSN: 1613-0073Google Scholar
  10. 10.
    Aroyo, L., De Meo, P., Ursino, D.: Trust and Reputation in Social Internetworking Systems. In: Proceedings of the Workshop on Adaptation in Social and Semantic Web (SASWeb 2010). CEUR Workshop Proceedings, vol. 590, pp. 42–53. RWTH, Aachen (2010) ISSN: 1613-0073Google Scholar
  11. 11.
    Ley, T., Seitlinger, P.: A Cognitive Perspective on Emergent Semantics in Collaborative Tagging: The Basic Level Effect. In: Proceedings of the Workshop on Adaptation in Social and Semantic Web (SASWeb 2010). CEUR Workshop Proceedings, vol. 590, pp. 13–18. RWTH, Aachen (2010) ISSN: 1613-0073Google Scholar
  12. 12.
    Steichen, B., Wade, V.: Adaptive Retrieval and Composition of Socio-Semantic Content for Personalised Customer Care. In: Proceedings of the Workshop on Adaptation in Social and Semantic Web (SASWeb 2010). CEUR Workshop Proceedings, vol. 590, pp. 1–12. RWTH, Aachen (2010)Google Scholar
  13. 13.
    Wang, Y., Zhang, J., Vassileva, J.: Personalized Recommendation of Integrated Social Data across Social Networking Sites. In: Proceedings of the Workshop on Adaptation in Social and Semantic Web (SASWeb 2010). CEUR Workshop Proceedings, vol. 590, pp. 19–30. RWTH, Aachen (2010)Google Scholar
  14. 14.
    Schimratzki, O., Bakalov, F., Knoth, A., König-Ries, B.: Semantic Enrichment of Social Media Resources for Adaptation. In: Proceedings of the Workshop on Adaptation in Social and Semantic Web (SASWeb 2010). CEUR Workshop Proceedings, vol. 590, pp. 31–41. RWTH, Aachen (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Federica Cena
    • 1
  • Antonina Dattolo
    • 2
  • Ernesto William De Luca
    • 3
  • Pasquale Lops
    • 4
  • Till Plumbaum
    • 3
  • Julita Vassileva
    • 5
  1. 1.Department of Computer ScienceUniversity of TurinItaly
  2. 2.Department of Mathematics and Computer ScienceUniversity of UdineItaly
  3. 3.School IV - Electrical Engineering and Computer ScienceTechnische Universität BerlinGermany
  4. 4.Department of Computer ScienceUniversity of Bari Aldo MoroItaly
  5. 5.Department of Computer ScienceUniversity of SaskatchewanCanada

Personalised recommendations