로봇학회논문지 (The Journal of Korea Robotics Society)
- 제2권1호
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- Pages.80-92
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- 2007
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- 1975-6291(pISSN)
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- 2287-3961(eISSN)
퍼베이시브 시스템을 위한 상황 지식 모델링
Context Knowledge Modeling for Pervasive Systems
- Cho, Joon-Myun (Software Robot Research Team, Electronics and Telecommunications Research Institute(ETRI)) ;
- Kim, Hyun (Software Robot Research Team, Electronics and Telecommunications Research Institute(ETRI)) ;
- Han, Soon-Hung (Dept. of ME, Korea Advanced Institute of Science and Technology(KAIST))
- 발행 : 2007.03.30
초록
For the pervasive computing in ubiquitous environment, it is very important to manage the context model to provide pertinent context knowledge to context-aware applications. The context model should be able to support efficiently the context knowledge reusing and sharing as well as reasoning. Previous works focus mainly on the context knowledge representation scheme for reasoning. This paper proposes a context knowledge modeling scheme especially for reusing and sharing. This scheme provides well-established principles and guides for 1) context knowledge modularization and hierarchization, and for 2) context knowledge identification and organization. Once the context models are built according to the scheme, the structure of the context model and the meanings of the context knowledge elements become clear and consistent, so that context-aware applications can share and reuse the context knowledge in easy and error-reduced manner. This paper also discusses the implementation of a context model and an application for Presentation Helper scenario running on a software middleware system (CAMUS) for ubiquitous service robots which is being developed by ETRI Korea.
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