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Semantic assessment of smart healthcare ontology

Sanju Tiwari (Machine Intelligence Research Labs (MIR Labs), India)
Ajith Abraham (Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, Washington, USA)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 31 July 2020

Issue publication date: 8 October 2020

235

Abstract

Purpose

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. These ontologies are advised to assure the quality of their adoption and applicability in the real world.

Design/methodology/approach

Ontology assessment is an integral part of ontology construction and maintenance. It is always performed to identify inconsistencies and modeling errors by the experts during the ontology development. A smart health-care ontology (SHCO) has been designed to deal with health-care information and IoT devices. In this paper, an integrated approach has been proposed to assess the SHCO on different assessment tools such as Themis, Test-Driven Development (TDD)onto, Protégé and OOPs! Several test cases are framed to assess the ontology on these tools, in this research, Themis and TDDonto tools provide the verification for the test cases while Protégé and OOPs! provides validation of modeled knowledge in the ontology.

Findings

As of the best knowledge, no other study has been presented earlier to conduct the integrated assessment on different tools. All test cases are successfully analyzed on these tools and results are drawn and compared with other ontologies.

Originality/value

The developed ontology is analyzed on different verification and validation tools to assure the quality of ontologies.

Keywords

Acknowledgements

Dr Sanju Tiwari is thankful to Alba Fernandez for the comments related to ontology assessment. She is thankful to Drs Maria Poveda and Raul Garcia for guiding the ontology publication.

Citation

Tiwari, S. and Abraham, A. (2020), "Semantic assessment of smart healthcare ontology", International Journal of Web Information Systems, Vol. 16 No. 4, pp. 475-491. https://doi.org/10.1108/IJWIS-05-2020-0027

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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