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Semantic integration of heterogeneous healthcare data based on hybrid root linked health record ontology

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Abstract

Merging data from several databases is called heterogeneous database integration. Integrating diverse databases in the same area faces three major challenges that make solving the heterogeneity problem difficult. Semantic, syntactic, and structural heterogeneity are the three concerns. It also makes it tough to cope with semantic heterogeneity issues. In practice, difficulties such as missing sensory data and aberrant values caused by device failure still exist when assessing existing heterogeneous integrated data. This research study presents a Semantic Integration of Heterogeneous Healthcare Data based on Hybrid Root Linked Health Record (LHR) Ontology to overcome the drawbacks. We used semantic web technologies to connect various healthcare data from multiple devices. In addition, this study proposes a hybrid root LHR ontology, which samples health data from various databases. This ontology modeling has two different stages. In the first stage, the ontology rules were to translate the database rules to find an abstract ontology model and entropy mapping. Secondly, to expand the abstract ontology model according to the databases. This approach enables searching databases using SPARQL queries. As a result, the API is utilized to find semantically comparable records. The proposed experimental result has a accuracy of 99%, which is comparable to the existing GLAV accuracy of 92%, Fuzzy accuracy of 91%, and the LHR and SYMP accuracy of 95% and 93%, respectively.

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Data availability

PHR dataset, RA dataset, LD dataset, Sensory services dataset.

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Funding

In this research, the article has not been funded by anyone.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, India

    R. Thirumahal & G. SudhaSadasivam

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  1. R. Thirumahal
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  2. G. SudhaSadasivam
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Contributions

R.Thirumahal - This work is a part of the Ph.D. thesis. A literature survey, research problem findings, implementation using JAVA, and analysis of the implementation results are conducted by this author. The author has prepared the original draft. Conceptualization and supervision of the study are done by this author. Methodology of the controller, validation, helping in writing the original draft, Editing, and reviewing is conducted by him/her.

Dr.G.SudhaSadasivam- Supervision of the study is done by this author. Checking the English grammar of the original draft, Editing, and reviewing are conducted by him.

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Correspondence to R. Thirumahal.

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Communicated by: H. Babaie

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Thirumahal, R., SudhaSadasivam, G. Semantic integration of heterogeneous healthcare data based on hybrid root linked health record ontology. Earth Sci Inform 16, 2661–2674 (2023). https://doi.org/10.1007/s12145-023-01055-y

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