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Journal Article Ontology-Based Context Modeling and Reasoning for U-HealthCare
Cited 72 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Eun Jung Ko, Hyung Jik Lee, Jeun Woo Lee
Issue Date
2007-08
Citation
IEICE Transactions on Information and Systems, v.E90-D, no.8, pp.1262-1270
ISSN
0916-8532
Publisher
일본, 전자정보통신학회 (IEICE)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1093/ietisy/e90-d.8.1262
Abstract
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 contextaware framework was tested experimentally. Copyright © 2007 The Institute of Electronics, Information and Communication Engineers.
KSP Keywords
Aging society, Context Modeling, Context aware, Embedded system, Healthcare Services, Information and communication, Knowledge inference, Modeling and reasoning, Personalized Healthcare, Ubiquitous Healthcare System(U-Healthcare), Ubiquitous computing environment