Representing dental restoration materials in the oral health and disease ontology.

IF 2.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Nivedita Dutta, Michael DeBellis, Nripen Chanda, Alexander D Diehl, Finn Wilson, Mateus Rocha, Mattew Diller, Gopikrishnan M Chandrasekharan, William D Duncan
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引用次数: 0

Abstract

BACKGROUND: Semantic clarity and standardization in representing dental restoration materials are essential for ensuring interoperability across research and clinical settings. However, existing ontologies, including those in the Open Biological and Biomedical Ontology (OBO) Foundry, provide minimal coverage of this clinically relevant domain. METHODS: Guided by OBO Foundry principles, developed an ontological extension of the Oral Health and Disease (OHD) ontology to formally represent dental restoration materials. The modeling process included iterative expert input to ensure clinical accuracy and precise terminology. Logical definitions and subclass hierarchies were created to classify materials by composition and microstructure. RESULTS: The extended ontology introduces a logically structured taxonomy of dental restoration materials using genus-differentia definitions. Its class hierarchy aligns with domain-specific classification systems and captures current and emerging material types. Reuse of class from the Chemical Entities of Biological Interest (ChEBI) and the Environment Ontology (ENVO) as well as relations from the Relation Ontology (RO) supports semantic integration with related biomedical ontologies. CONCLUSION: This work highlights how domain-informed ontology design can effectively capture complex material knowledge. The extensive collaboration integrates expertise from ontology engineers, academic researchers, and practicing clinicians. This approach enables the capture of intricate, often-disregarded real clinical factors, resulting in a model that reflects both the structural properties of materials and their practical use. The extended OHD ontology improves the semantic representation of dental restoration materials and provides a scalable foundation for advancing oral health informatics.

代表口腔健康与疾病本体中的牙齿修复材料。
背景:牙齿修复材料的语义清晰度和标准化对于确保研究和临床环境的互操作性至关重要。然而,现有的本体,包括那些在开放生物和生物医学本体(OBO)铸造厂,提供最小的覆盖这一临床相关领域。方法:在OBO铸造原则的指导下,开发了口腔健康与疾病(OHD)本体的本体扩展,以正式表示牙齿修复材料。建模过程包括反复的专家输入,以确保临床准确性和精确的术语。创建了逻辑定义和子类层次,根据成分和微观结构对材料进行分类。结果:扩展本体采用属差异定义引入了牙修复材料的逻辑结构化分类。它的类层次结构与领域特定的分类系统保持一致,并捕获当前和新兴的材料类型。重用来自生物兴趣化学实体(ChEBI)和环境本体(ENVO)的类以及来自关系本体(RO)的关系,支持与相关生物医学本体的语义集成。结论:这项工作强调了领域知情本体设计如何有效地捕获复杂的材料知识。广泛的合作整合了本体工程师、学术研究人员和执业临床医生的专业知识。这种方法能够捕获复杂的,经常被忽视的真实临床因素,从而产生反映材料结构特性及其实际用途的模型。扩展的OHD本体改进了牙齿修复材料的语义表示,并为推进口腔健康信息学提供了可扩展的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
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