User care preference-based service discovery in ubiquitous environment = 유비쿼터스 환경에서 사용자 증상의 민감도에 기반한 서비스 디스커버리

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Recently, research efforts on service discovery have worked on abstract representation on functional effects. Abstract representation inherently adheres to a high level of semantics to maximize the availability of service. However, services discovered by effects are differently accepted to a user according to user``s condition like medical symptom. For example, when message needs to be delivered to a user, system discovers available services such as PDA and TV which support ``display effect`` for message delivery. However, TV which has higher sound effect as well as display effect might be better service to the user who experiences a poor eye-sight because preferred service is determined according to user``s condition. Thus, to consider user``s condition, we introduce a user care preference which is classified to multiple effects with different weight. It is used to measure how much each effect of user is sensitive to each of multiple effects which service supports. In addition, we propose a systematic process of design to support semantic service discovery with the attempts of user request classified by five senses. Symptom analysis is executed in context manger to generate user care preference and the relative degree with proximate services is measured in a service manager. Finally, when some event happens, system can discover the best service based on user``s condition. Our approach helps service discovery using the context incorporating user condition to represent user``s intention and sensitivity richer.
Lee, Young-Heeresearcher이영희researcher
한국정보통신대학교 : 공학부,
Issue Date
393035/225023 / 020064649

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.8, [ vi, 43 p. ]


Medical symptom; Semantic service discovery; Context aware computing; Five senses; 오감; 의학 증상; 세맨틱 서비스 디스커버리; 컨택스트 어웨어 컴퓨팅

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School of Engineering-Theses_Master(공학부 석사논문)
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