Jeun Woo Lee

Ontology-Based Context Modeling and Reasoning for U-HealthCare

In order to prepare the health care industry for an increasingly aging society, a ubiquitous health care infrastructure is certainly needed. In a ubiquitous computing environment, it is important that all applications and middleware should be executed on an embedded system. To provide personalized health care services to users anywhere and anytime, a context-aware framework should convert low-level context to high-level context. Therefore, ontology and rules were used in this research to convert low-level context to high-level context. In this paper, we propose context modeling and context reasoning in a context-aware framework which is executed on an embedded wearable system in a ubiquitous computing environment for U-HealthCare. The objective of this research is the development of the standard ontology foundation for health care services and context modeling. A system for knowledge inference technology and intelligent service deduction is also developed in order to recognize a situation and provide customized health care service. Additionally, the context-aware framework was tested experimentally.

Seamless service adaptation in context-aware middleware for u-healthcare

In ubiquitous computing environment, intelligent context-aware service should be adapted seamlessly to context-aware middleware Semantic matching between service and middleware is needed for this To solve the match, ontology is used for context-aware service adaptation If service description includes service profile, service input, output, service grounding etc, middleware can understand the description describe using some inferences This paper proposes a seamless service adaptation agent for context-aware middleware in wearable computing environment.