Paper Info
Title
Healthiot Ontology For Data Semantic Representation And Interpretation Obtained From Medical Connected Objects
Abstract
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).
Year
DOI
Venue
2017
10.1109/AICCSA.2017.171
2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA)
Keywords
Field
DocType
Internet of Things, Internet of Medical Things, Ontology, Semantic Interoperability, Semantic reasoning
Ontology (information science),Health care,Ontology,Information retrieval,Computer science,Interoperability,Computer network,Semantic interoperability,Cognition,Semantic Web Rule Language,Semantics
Conference
ISSN
Citations 
PageRank 
2161-5322
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ahlem Rhayem131.79
Mohamed Mhiri2106.71
Faïez Gargouri324492.29