Bridging the Gap between Web 2.0 Technologies and Social Computing Principles

  • Giorgos Kormaris
  • Marco Spruit
Part of the Communications in Computer and Information Science book series (CCIS, volume 87)


This research presents a brief review of the different definitions of Web 2.0 and presents the most important Web 2.0 Technologies that underlie the evolution of the Web. We map these Web 2.0 technologies to the Social Computing Principles and describe the different relations and patterns that occur. We argue that creating insight into the relations between Web 2.0 Technologies and Principles will help enable the creation of more successful services and accommodate a better understanding of Web 2.0 and its social aspects.


Web 2.0 technologies Web 2.0 applications Social Computing Principles 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Knol, M., Spruit, M., Scheper, W.: The Emerging Value of Social Computing in Business Model Innovation. In: Lytras, M.O. (ed.) Electronic Globalized Business And Sustainable Development Through IT Management: Strategies And Perspectives. IGI Global (2009)Google Scholar
  2. 2.
  3. 3.
  4. 4.
    McAfee, A.: Enterprise 2.0: The Dawn of Emergent Collaboration. MIT Sloan Management Review 47(3), 21–28 (2006)Google Scholar
  5. 5.
    Berners-Lee, S.T.: Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. HarperCollins, New York (1999)Google Scholar
  6. 6.
  7. 7.
  8. 8.
    Anderson, P.: What is Web 2.0? Ideas, technologies and implications for education. JISC Technology and Standards Watch (2007)Google Scholar
  9. 9.
    Ecma International.: Standard ECMA-262 5th Edition: ECMAScript Language Specification. Ecma International, Geneva (2007) Google Scholar
  10. 10.
  11. 11.
    Netscape Communications Corporation. Javascript Press Release,
  12. 12.
  13. 13.
    Pautasso, C.: SOAP vs REST: Bringing the Web back into Web Services, Business Integration Technologies, IBM Zurich Research Lab (2007)Google Scholar
  14. 14.
  15. 15.
  16. 16.
    Benson, J., Company, H.A.: EMML Changes Everything: Profitability, Predicatbility & Performance through Enterprise Mashups. Open Mashup Alliance, Alexandria (2009)Google Scholar
  17. 17.
    Greaves, M.: Semantic Web 2.0. IEEE Intelligent Systems (2007)Google Scholar
  18. 18.
    Ankolekar, A., Krötzsch, M., Tran, T., Vrandečić, D.: The two cultures: Mashing up Web 2.0 and the Semantic Web. Journal of Web Semantics, 70m–75m (2008)Google Scholar
  19. 19.
    Golder, S.A., Huberman, B.A.: The Structure of Collaborative Tagging Systems. CoRR: abs/cs/0508082 (2005)Google Scholar
  20. 20.
    Halpin, H., Robu, V., Shepherd, H.: The Complex Dynamics of Collaborative Tagging. In: WWW 2007, Banff, Alberta, Canada (2007)Google Scholar
  21. 21.
  22. 22.
  23. 23.
    Tufts University Admissions,
  24. 24.
    Hasija, K., Singh, D., Mehta, A.: Re-Orientation of Web 2.0. In: International Conference on Information and Multimedia Technology, pp. 117–120. IEEE Computer Society, Jeju Island (2009)CrossRefGoogle Scholar
  25. 25.
    Vossen, G.: Unleashing Web 2.0, From Concepts to Creativity. Morgan Kaufman, Burlington (2007)Google Scholar
  26. 26.
    Li, R., Bao, S., Yu, Y., Fei, B., Su, Z.: Towards effective browsing of large scale social annotations. In: WWW 2007, pp. 943–952 (2007)Google Scholar
  27. 27.
    Wellman, B.: The Glocal Village: Internet and Community. idea&s, Faculty of Arts and Science. University of Toronto, Toronto (2004)Google Scholar
  28. 28.
    Bian, J., Liu, Y., Zhou, D., Agichtein, E., Zha, H.: Learning to recognize reliable users and content in social media with coupled mutual reinforcement. In: WWW 2009, pp. 51–60 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Giorgos Kormaris
    • 1
  • Marco Spruit
    • 1
  1. 1.Department of Information & Computer SciencesUtrecht University 

Personalised recommendations