Contextual synchronization for social collaboration in enterprises

  • Authors:
  • Jason J. Jung

  • Affiliations:
  • Yeungnam University, Gyeongsan, Korea

  • Venue:
  • Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2013

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Abstract

Since computing environments in enterprises are dramatically changing, it is difficult to support collaboration among people in the enterprises. This paper claims that the context should be efficiently synchronized, in order to efficiently support collaborations between people (agents) in real-time. Thereby, we propose an ontology-based platform for acquainting the most relevant users (e.g., colleagues and classmates), according to their contexts. Two kinds of contexts are modeled with semantic information derived from ontologies; (i) personal context, and (ii) consensual context (which is integrated from several personal contexts). By using measurement criteria to compare them, context-based communities can be dynamically organized with respect to the similarities among several aspects of personal context. In particular, users can engage in complex collaborations related to multiple semantics. For experimentation, a social browsing system has been implemented based on context synchronization.