HealthIoT Ontology for Data Semantic Representation and Interpretation Obtained from Medical Connected Objects

被引：15
|
作者：
Rhayem, Ahlem [1 ]
Mhiri, Mohamed Ben Ahmed [1 ]
Gargouri, Faiez [1 ]
机构：
[1] Univ Sfax, MIRACL Lab, Sfax, Tunisia
来源：
2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2017年
关键词：
Internet of Things; Internet of Medical Things; Ontology; Semantic Interoperability; Semantic reasoning; MANAGEMENT;
D O I：
10.1109/AICCSA.2017.171
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Internet of Things (IoT) covers a variety of applications including the Healthcare field. Consequently, medical objects become connected to each other with the purpose to share and exchange health data. These medical connected objects raise issues on how to ensure the analysis, interpretation and semantic interoperability of the extensive obtained health data with the purpose to make an appropriate decision. This paper proposes a HealthIoT ontology for representing the semantic interoperability of the medical connected objects and their data; while an algorithm alleviates the analysis of the detected vital signs and the decision-making of the doctor. The execution of this algorithm needs the definition of several SWRL rules (Semantic Web Rule Language).
引用
收藏
页码：1470 / 1477
页数：8
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