Ontology based semantic interoperability approach in the Internet of Things for healthcare domain

Ahamed, Jameel; Chishti, Mohammad Ahsan

doi:10.1080/09720529.2021.1873255

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Different healthcare applications of the Internet of things were represented by [13]. According to [5] mobile health activities are proliferating daily, and their integration with multiple healthcare records is inevitable. Integration of heterogeneous healthcare records presents a semantic interoperability challenge.…”

Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%

“…The proposed solution did not apply to general clinical decision support systems. Ontology mapping [5], rulebased approaches [17] [18], agent-based approaches [19], [20], and tabular document-based approaches [21] were the state-of-the-art solutions for semantic Interoperability. The state of art solutions depend only on structured medical documents, single medical documents, or IoT documents.…”

Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%

“…Ahamed et al [5]suggested an ontology-based semantic interoperability framework. The proposed solution needs to take into account the linguistic issues found in medical records.…”

Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%

“…Semantic Interoperability in the medical field is the ability of healthcare settings to communicate seamlessly with other healthcare settings without losing the actual semantics. Different authors have used the term IoHT(Internet of Healthcare Things) [2], IoMT(Internet of Medical Things) [3] [4], HIoT(Healthcare Internet of Things) [5], and Internet of Health Things [6] for representing the Internet of Things in Healthcare. Transparent Electronic Healthcare Record transmission is one of the challenges facing healthcare researchers.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Intuitionistic Fuzzy based Intelligent System for Semantic Interoperability and Privacy Preservation in Healthcare Systems

Sony

Nagarajan

2023

Preprint

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Secure semantic interoperability solutions are required in the age of the digital era as heterogeneous IoT medical devices increase, and these devices produce vast amounts of data daily. Since the data is enormous, the hospital could not keep the complete data collection on its hospital information server. The cloud often handles storage, and state-of-the-art privacy protection relies on reliable cloud servers. Even if the documents are encrypted, the server may still determine what is contained there. This study ensures healthcare data privacy using AES and ElGamal encryption techniques while maintaining semantic Interoperability. The suggested technique provides a mechanism for document decryption on the customer’s end. By the amalgamation of medical ontology UMLS and Intuitionistic Fuzzy logic, most linguistic issues, such as word sense disambiguation, identification of lexical variances, hypernymy-hyponymy issues, and meronymy-holonymy issues, are addressed in this work. Results show that the proposed method outperforms existing solutions.

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Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%

Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%

“…Ahamed et al [5]suggested an ontology-based semantic interoperability framework. The proposed solution needs to take into account the linguistic issues found in medical records.…”

Section: State Of the Art Of Semantic Interoperabilitymentioning

confidence: 99%