Applying person-centered, nonpharmacological interventions to manage psychotic symptoms of dementia is promoted for health care professionals, particularly gerontological nurses, who are responsible for care of older adults in nursing homes. A knowledge graph is a graph consisting of a set of concepts that are linked together by their interrelationship and has been widely used as a formal representation of domain knowledge in health. However, there is lack of a knowledge graph for nonpharmacological treatment of psychotic symptoms in dementia. Therefore, we developed a comprehensive, human- and machine-understandable knowledge graph for this domain, named Dementia-Related Psychotic Symptom Nonpharmacological Treatment Ontology (DRPSNPTO). This graph was built by adopting the established NeOn methodology, a knowledge graph engineering method, to meet the quality standards for biomedical knowledge graphs. This intuitive graph representation of the domain knowledge sets a new direction for visualizing and computerizing gerontological knowledge to facilitate human comprehension and build intelligent aged care information systems. [Journal of Gerontological Nursing, 48(4), 49–55.]

提倡医疗保健专业人员，特别是负责护理疗养院老年人的老年护士，采用以人为本的非药物干预措施来管理痴呆症的精神病症状。知识图谱是由一组概念组成的图，这些概念通过它们的相互关系联系在一起，并已被广泛用作健康领域知识的正式表示。然而，缺乏对痴呆症精神病症状的非药物治疗的知识图谱。因此，我们为该领域开发了一个全面的、人类和机器可理解的知识图谱，命名为痴呆症相关精神病症状非药物治疗本体 (DRPSNPTO)。该图是通过采用已建立的 NeOn 方法学（一种知识图谱工程方法）构建的，以满足生物医学知识图谱的质量标准。这种领域知识的直观图形表示为老年学知识的可视化和计算机化设置了一个新方向，以促进人类理解和构建智能老年护理信息系统。[老年护理杂志，48（4），49-55。]