Discovering Mobile Social Networks by Semantic Technologies

  • Jason J. Jung
  • Kwang Sun Choi
  • Sung Hyuk Park


It has been important for telecommunication companies to discover social networks from mobile subscribers. They have attempted to provide a number of recommendation services, but they realized that the services were not successful. In this chapter, we present semantic technologies for discovering social networks. The process is mainly composed of two steps; (1) profile identification and (2) context understanding. Through developing a Next generation Contents dElivery (NICE) platform, we were able to generate various services based on the discovered social networks.


Social Network Mobile User Contextual Dependency Recommendation Service Mobile Subscriber 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by the Korean Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST). (2008-0058292). This chapter has been significantly revised from the paper [14] published in Expert Systems with Applications, Vol. 36 (pp. 11950–11956) in 2009.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Jason J. Jung
    • 1
  • Kwang Sun Choi
  • Sung Hyuk Park
  1. 1.Yeungnam UniversityDae-Dong GyeongsanKorea

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