Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

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dc.contributor.author Sohail Jabbar
dc.contributor.author Farhan Ullah
dc.contributor.author Shehzad Khalid
dc.contributor.author Murad Khan
dc.contributor.author Kijun Han
dc.date.accessioned 2018-08-09T06:12:10Z
dc.date.available 2018-08-09T06:12:10Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/123456789/7201
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries ;10.1155/2017/9731806
dc.subject Computer Engineering en_US
dc.title Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare en_US
dc.type Article en_US


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