An ontology-based healthcare monitoring system in the Internet of Things

被引：0
|
作者：
Titi, Sondes [1 ,2 ,3 ]
Ben Elhadj, Hadda [1 ,2 ]
Chaari, Lamia [1 ,2 ]
机构：
[1] Univ Sfax, Digital Res Ctr Sfax CRNS, Sfax, Tunisia
[2] Univ Sfax, LT2S, Sfax, Tunisia
[3] Univ Sfax, Natl Sch Engn, Sfax, Tunisia
来源：
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) | 2019年
关键词：
Healthcare; AmI; Ontology; reasoning; knowledge; IoT;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Continuous health monitoring is a hopeful solution that can efficiently provide health-related services to elderly people suffering from chronic diseases. The emergence of the Internet of Things (IoT) technologies have led to their adoption in the development of new healthcare systems for efficient healthcare monitoring, diagnosis and treatment. This paper presents a healthcare-IoT based system where an ontology is proposed to provide semantic interoperability among heterogeneous devices and users in healthcare domain. Our work consists on integrating existing ontologies related to health, IoT domain and time, instantiating classes, and establishing reasoning rules. The model created has been validated by semantic querying. The results show the feasibility and efficiency of the proposed ontology and its capability to grow into a more understanding and specialized ontology for health monitoring and treatment.
引用
收藏
页码：319 / 324
页数：6
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