Bouaud Jacques, Guézennec Gilles, Séroussi Brigitte
AP-HP, DRCI, Paris, France.
Sorbonne Université, Université Paris 13, Sorbonne Paris Cité, INSERM, LIMICS, UMR_S 1142, Paris, France.
Stud Health Technol Inform. 2018;247:541-545.
The integration of clinical information models and termino-ontological models into a unique ontological framework is highly desirable for it facilitates data integration and management using the same formal mechanisms for both data concepts and information model components. This is particularly true for knowledge-based decision support tools that aim to take advantage of all facets of semantic web technologies in merging ontological reasoning, concept classification, and rule-based inferences. We present an ontology template that combines generic data model components with (parts of) existing termino-ontological resources. The approach is developed for the guideline-based decision support module on breast cancer management within the DESIREE European project. The approach is based on the entity attribute value model and could be extended to other domains.
将临床信息模型和术语本体模型集成到一个独特的本体框架中是非常必要的，因为它有助于使用相同的形式机制对数据概念和信息模型组件进行数据集成和管理。对于旨在利用语义网技术的各个方面来融合本体推理、概念分类和基于规则的推理的基于知识的决策支持工具来说尤其如此。我们提出了一个本体模板，它将通用数据模型组件与现有术语本体资源（的部分内容）相结合。该方法是为欧洲DESIREE项目中基于指南的乳腺癌管理决策支持模块而开发的。该方法基于实体属性值模型，并且可以扩展到其他领域。
