Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

Author:

Jabbar Sohail1ORCID,Ullah Farhan2ORCID,Khalid Shehzad3ORCID,Khan Murad1ORCID,Han Kijun1ORCID

Affiliation:

1. School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea

2. Department of Computer Science, COMSATS Institute of Information Technology, Sahiwal, Pakistan

3. Department of Computer Engineering, Bahria University, Islamabad, Pakistan

Abstract

Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.

Funder

National Research Foundation of Korea

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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