Semantic assessment of smart healthcare ontology. Issue 4 (31st July 2020)

• Record Type: Journal Article
• Authors: Tiwari, Sanju; Abraham, Ajith
• Is Part Of: International journal of web information systems. Volume 16:Issue 4(2020)
• Page Start: 475
• Page End: 491
• Publication Date: 2020-07-31
• Subjects: Health care -- IoT -- Ontology assessment -- Knowledge modeling -- Linked data -- Test cases; World Wide Web -- Periodicals; Internet -- Periodicals; Information storage and retrieval systems -- Periodicals; 004.678
• DOI: 10.1108/IJWIS-05-2020-0027
• Languages: English
• ISSNs: 1744-0084

Abstract

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.