Abstract: With the continuous development of the technology of the Internet and the Internet of things, the intelligent healthcare method is respected and used by more and more users. In intelligent healthcare management, generation of healthcare reminders based on user’s personal status and surrounding environment information will greatly improve the matching degree between healthcare reminders and users and realize panoramic and personalized healthcare. A research method is proposed which abstracts user’s personal status and surrounding environment as user’s scene model, establishes a scene database and a healthcare rule base. Then, the user’s scenes trigger healthcare rules and generate health reminders. The domain ontology modeling method is used to model  user’s scenes, healthcare rules, and healthcare reminders. The classes of scene ontology model are instantiated, and the scene database and rule base are constructed according to the actual situation and common sense. Based on the scene database and rule base, taking all scenes that a user may face on a specific day as examples, healthcare rules are triggered and healthcare reminders are generated. Finally, based on the scene ontology model, a healthcare reminder generation system is designed and developed to achieve the functions of scene data acquisition, storage, and health reminder generation.

Key words: domain ontology, scene modeling, intelligent healthcare, scheme generation

摘要： 随着互联网、物联网技术的不断发展，智能健康管理方法被越来越多的用户推崇和使用。在智能健康管理的过程中，依据用户个人状态和周围环境信息，智能地生成与之相符的健康管理提醒，将极大地提升提醒与用户之间的匹配度，实现全景式、个性化的健康管理。提出一种将用户个人状态和周围环境抽象为用户场景模型，建立场景库和健康管理规则库，实现场景触发规则，生成健康提醒功能的研究方法。采用领域本体建模的方法，对包含用户个人状态和周围环境的用户场景，健康管理规则和健康提醒进行建模，按照实际情形并结合生活常识对用户场景本体模型进行实例化，构建场景库和规则库。在场景库和规则库的基础上，以用户特定一天可能面临的所有场景为例，按照场景触发推理规则，生成健康管理提醒的逻辑生成提醒。最终，在场景本体模型的基础上，设计并开发健康管理提醒生成系统，实现场景数据获取、存储，以及健康提醒生成的功能。

关键词: 领域本体, 场景建模, 智能健康管理, 方案生成