Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

Clicks: 381
ID: 91000
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #6 of 26 articles by views in wireless communications and mobile computing

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
jabbar2017semanticwireless Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jabbar, Sohail;Ullah, Farhan;Khalid, Shehzad;Khan, Murad;Han, Kijun;
Journal wireless communications and mobile computing
Year 2017
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2017/9731806
Keywords
chemistry Medicine Chemical technology Technology Computer applications to medicine. Medical informatics Science (General) Diseases of the blood and blood-forming organs neoplasms. tumors. oncology. including cancer and carcinogens public aspects of medicine telecommunication

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.