사용자 중심의 상황 인지 시스템의 개발

Development of User-Centered Context Awareness System

  • 장인우 (국민대학교 컴퓨터 공학부 대학원) ;
  • 우종우 (국민대학교 컴퓨터 공학부)
  • 투고 : 2009.12.29
  • 심사 : 2010.03.12
  • 발행 : 2010.03.31

초록

Recently, a smart space with Ubiquitous Environment is expanding rapidly due to the development of Ubiquitous Sensor Network. Therefore, more appropriate and intelligent services of the context awareness system is being required. The previous context awareness system can provide a service to the user through the inference only on the current situation. But, it does not handle certain situation properly when the system provides abnormal result. Also it does not have any proper method of generating reliable semantic data from sensed raw data. In this paper, we are trying to solve the problems as the following approaches. First, the system recognizes abnormal result and corrects it by learning feedback from the user. Second, we suggest a method of converting sensed data into more reliable semantic data. Third, we build the system based on an Ontological context model that is capable of interoperability and reusability. Therefore, the context awareness system of our study can enhance the previous system that can generate more reliable context data, can provide more effective inference method, and can provide more intelligent system structure.

키워드

참고문헌

  1. Karen Henricksen, Jadwiga Indulska and Andry Rakotonirainy, "Infrastructure for Pervasive Computing : Challenges", Workshop on Pervasive Computing INFORMATIK 2001, Vienna, Vol.157(2001), pp.214-222.
  2. Anind K. Dey and Gregory D.Abowd, "A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context- Aware Applications", anchor article of a special issue on Context-Aware Computing, Human-Computer-Interaction (HCI) Journal, Vol.16(2001), pp.97-166. https://doi.org/10.1207/S15327051HCI16234_02
  3. Philippe Debaty, Patrick Goddi and Alex Vorbau, "Integrating the physical world with the web to enable context-enhanced mobile services", Mobile Networks and Applications, Vol.10(2005), pp.385-394. https://doi.org/10.1007/s11036-005-1552-2
  4. Karen Henricksen, Jadwiga Indulska and Andry Rakotonirainy, "Modeling Context Information in Pervasive Computing Systems", Proceedings of the First International Conference on Pervasive Computing, (2002), pp.167-180.
  5. Xiao Hang wang, Tao Gu, Da Qing Zhang and Hung Keng Pung, "An Ontology-based Context Model in Intelligent Environments", In Proceedings of Communication Networks and Distributed System Modeling and Simulation Conference, San Diego, California, USA, (2004), pp.270-275.
  6. Xiao Hang Wang, Tao Gu, Da Qing Zhang, and Hung Keng Pung, "A service-oriented middleware for building context-aware services", Journal of network and Computer Applications, Vol.28(2005), pp.1-18. https://doi.org/10.1016/j.jnca.2004.06.002
  7. Harry Chen, Tim Finin and Anupam Joshi, "An Ontology for Context-Aware Pervasive Computing Environments", Special Issue on Ontologies for Distributed Systems, Knowkedge Engineering Review, Vol.18(2003), pp.197-207. https://doi.org/10.1017/S0269888904000025
  8. Anand Ranganathan and Roy H. Campbell, "A Middleware for Context-Aware Agents in Ubiquitous Computing Environments", International Federation for Information Processing, (2003), pp.143-161.
  9. Kwang-Eun Ko and Kwee-Bo Sim, "Context Aware System based on Bayesian Network driven Context Reasoning and Ontology Context Modeling", Interanational Journal of Fuzzy Logic and Intelligent Systems, Vol.8, No.4(2008), pp.254-259. https://doi.org/10.5391/IJFIS.2008.8.4.254
  10. Anind K. Dey and Gregory D.Abowd, "Towards a Better Understanding of Context and Context- Awareness", Workshop on the what, who, where, when and how of context-awareness at CHI, April, (2000), pp.304-307.
  11. Steven A. N. Shafer, Barry Brumitt and JJ Cadiz, "Interaction Issues in Context-Aware Intelligent Environments", Human-Computer-Interaction, Vol.16(2001), pp.363-378. https://doi.org/10.1207/S15327051HCI16234_16
  12. E.H. MamDani and S.Assilian, "An experiment in linguistic synthesis with a fuzzy logic controller", International Journal of Human-Computer Studies, (1999), pp.135-147.
  13. Wolfgang Wike and Ralph Bergmann "Techniques and Knowledge Used for Adaptation During Case-Based Problem Solving", Tasks and Methods in Applied Artificial Intelligence, Vol.1416(1998), pp.497-503. https://doi.org/10.1007/3-540-64574-8_435
  14. Kathleen Hanney and Mark T. Keane, "The Adaptation Knowledge Bottleneck How to Ease it by Learning from Cases", International Conference on Case-Based Reasoning, Vol.1266 (1997), pp.359-370.