An Ontology for Context-Aware Pervasive Computing Environments

Chen, Harry; Finin, Tim; Joshi, Anupam

doi:10.21236/ada439610

Cited by 167 publications

(222 citation statements)

References 10 publications

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“…Section 4 uses different contexts and problems in home environments to present and validate the results of this care system. The conclusion describes the results of this study and future research directions [7,10,12].…”

Section: Research Purposesmentioning

confidence: 77%

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A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference

Chiang¹,

Liang²

2015

J Med Syst

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In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which assists the elderly or patients with chronic diseases in daily life. This study aims at interaction between persons under care and the system in various living spaces, as based on motion-sensing interaction, and the context-aware smart home care system is proposed. The system stores the required contexts in knowledge ontology, including the physiological information and environmental information of the person under care, as the database of decision. The motion-sensing device enables the person under care to interact with the system through gestures. By the inference mechanism of fuzzy theory, the system can offer advice and rapidly execute service, thus, implementing the EHA. In addition, the system is integrated with the functions of smart phone, tablet PC, and PC, in order that users can implement remote operation and share information regarding the person under care. The health care system constructed in this study enables the decision making system to probe into the health risk of each person under care; then, from the view of preventive medicine, and through a composing system and simulation experimentation, tracks the physiological trend of the person under care, and provides early warning service, thus, promoting smart home care.

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Section: Research Purposesmentioning

confidence: 77%

“…Correlation refers to the relationship between entities or between entity and attribute. The correlation will inherit all attributes or their class relations, for example, regular drug administration, exercise, and blood pressure measurement of the patient with high blood pressure prevent qualm [12,13,16,18,20].…”

Section: Ontologymentioning

confidence: 99%

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference

Chiang¹,

Liang²

2015

J Med Syst

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“…They don't define the environment and time concepts. COBRA [16], proposed by Chen et al, used an ontology to describe person, places, and intentions.…”

Section: Context Modelingmentioning

confidence: 99%

Development of a Cooperative Middleware to Provide Context-Aware Service in Smart Home

Hoque¹,

Yang²

2017

IJSH

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“…In Luther et al (2005), the authors explain how OWL ontologies and OWL-DL reasoning methods are used to enrich the description of contextual situations defined in terms of location, time, people and sensor information. Previously, also other researches proposed service architectures based on context ontologies (e.g., Chen et al 2003;Power et al 2004). …”

Section: Strong Semantic Techniquesmentioning

confidence: 99%

Adaptive systems in the era of the semantic and social web, a survey

Torre

2009

User Model User-Adap Inter

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In this paper we provide a classification of adaptive systems with respect to the kind of semantic technology they exploit to accomplish or improve specific adaptation and user modeling tasks. This classification is based on a distinction between strong semantic techniques and weak semantic techniques. The former are techniques based on the Semantic Web, while the latter regard technologies that, in different ways, annotate resources, enriching their meaning. This second category includes, in particular, Web 2.0 social annotations and mixed approaches between social annotations and Semantic Web techniques. While the impact of the Semantic Web on adaptive systems has been discussed in several survey papers, the potential of weak semantic technologies has, so far, received little attention. The aim of this analysis is to fill this gap. Therefore, we will discuss contributions and limits of both approaches, but we will focus special attention on weak semantic adaptive systems.

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An Ontology for Context-Aware Pervasive Computing Environments

Cited by 167 publications

References 10 publications

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference

Development of a Cooperative Middleware to Provide Context-Aware Service in Smart Home

Adaptive systems in the era of the semantic and social web, a survey

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