Context Knowledge Modeling for Pervasive Systems

퍼베이시브 시스템을 위한 상황 지식 모델링

  • 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))
  • 조준면 (한국전자통신연구원 소프트웨어로봇연구팀) ;
  • 김현 (한국전자통신연구원 소프트웨어로봇연구팀) ;
  • 한순흥 (한국과학기술원 기게공학과)
  • Published : 2007.03.30

Abstract

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.

Keywords