A Novel Approach for Conflict Resolution in Context-Awareness Using Semantic Unification of Multi-Cognition

  • Keonsoo Lee
  • Minkoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5357)


The context helps service providers to perform their works properly even if the user’s request has implicit meanings. The context of service can be viewed as the situation of the environment which is related to the service’s execution. In order to provide such autonomous and intelligent service, the provider needs to be aware of the context by sensing the environment. In this sensing process, the conflicts can happen. One of the origins of these conflicts is the discord of the sensing data’s meaning that is used for recognizing the context by different providers. This difference can cause the conflict in providing services such as keeping the music or keeping the serenity of the space. In this paper, we propose a conflict resolution method by unifying these semantic discards of sensed data. This unified meaning can keep the multiple services from recognizing the environment differently.


Conflict Resolution Ubiquitous Computing Semantic Meaning Control Service Execution Condition 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Dey, A.K.: Providing Architectural Support for Building Context-Aware Applications. PhD thesis, College of Computing, Georgia Institute of Technology (2000)Google Scholar
  2. 2.
    Reiter, R.: The frame problem in the situation calculus: a simple solution (sometimes) and a completeness result for goal regression. Artificial intelligence and mathematical theory of computation: papers in honor of John McCarthy, 359–380 (1991)Google Scholar
  3. 3.
    Lee, K., Kim, M.: Conflict Resolution Method for Multi-Context Situation. In: The Eighth Pacific Rim International Workshop on Multi-Agents, Malaysia, pp. 285–294 (2005)Google Scholar
  4. 4.
    Lee, K., Kim, W., Kim, M.: Resource Allocation in Multi-Agent System for Ubiquitous Computing Service. In: The Eighth Pacific Rim International Workshop on Multi-Agents, Malaysia, pp. 113–120 (2005)Google Scholar
  5. 5.
    Levesque, H., Pirri, F., Reiter, R.: Foundation for the situation calculus. Electronic Transactions on Artificial Intelligence 2(34), 159–178 (1998)MathSciNetGoogle Scholar
  6. 6.
    Dey, A.K., Abowd, G.D., Salber, D.A.: A Context-based Infrastructure for Smart Environment. In: MANSE 1999, pp. 112–128 (1999)Google Scholar
  7. 7.
    Lee, K., Kim, K.: Service Selection Model using Situation in Ubiquitous Computing Environment. In: The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance, pp. 147–151 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Keonsoo Lee
    • 1
  • Minkoo Kim
    • 2
  1. 1.Graduate School of Information and CommunicationAjou UniversitySuwonRepublic of Korea
  2. 2.College of Information & Computer EngineeringAjou UniversitySuwonRepublic of Korea

Personalised recommendations