Development of an Ontology-Based Semantic Representation Model for Health ScalesPU Siyue1 DENG Panpan1 SUN Haixia1* ZHENG Yumeng1 LIN Yan1 QIAN Qing1 LI Jiao1

Corresponding author: Sun Haixia

DOI: 10.12201/bmr.202604.00079

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  Abstract: Purpose/Significance To develop a semantic description model for deep knowledge representation throughout the health scale life cycle, enhancing intelligent resource management. Method/Process Based on domain-specific scientific literature and top-level ontologies, the Seven-Step Method was employed to design the semantic description model. Model construction and quality evaluation were performed using Protégé 5.5.0. The semantic description capability of the model was validated using the Brief Version of the Disability Assessment Scale for the Elderly as a case study. Result/Conclusion An ontological semantic description model was developed, comprising 6 top-level classes (Information Content Entity, Process, Role, Agent, Material Entity, and Immaterial Entity), 73 object attributes, and 65 data attributes. Instance validation demonstrates that the model effectively represents the content units, development processes, and related knowledge elements of health scales. It serves as a theoretical foundation for the structured and linked organization of health scales, promoting their in-depth development and intelligent application.

  Key words: Scales; Knowledge Representation; Domain Ontology; Knowledge Organization

  Submit time: 10 April 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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