家庭服务机器人知识图谱的构建与应用

Construction and Application of Knowledge Graph for Home Service Robot

为提高服务机器人对家庭环境中事物语义信息的准确获取与认知,提出了一种家庭服务机器人知识图谱的构建方案并进行了家庭服务的应用测试。首先,针对家庭服务应用需求,构建了适用于家庭环境的领域本体,并采用结构化的方法表征家庭场景下环境、人物、服务等知识以及物体的语义属性,将其存储在关系型数据库中。在此基础上,根据领域本体将知识库的结构化数据进行数据映射和知识抽取,完成知识图谱的构建,并针对典型家庭服务的应用需求进行了测试。实验结果表明,构建的知识图谱能够有效地帮助服务机器人准确地获取家庭环境中事物的语义信息,检索得到服务所需的知识,从而保障其智能化地执行家庭服务。

To improve the service robot’s accurate acquisition and cognition of the semantic information of things in the home environment, a construction method of the knowledge graph of the home service robot is proposed, and the application test of the home service is carried out. First, a domain ontology suitable for the home environment is constructed according to the application requirements of home services, and a structured method is used to represent the semantic attributes of objects and the knowledge of environment, users, and services in the home scenario, and store them in a relational database. On this basis, according to the domain ontology, the mapping and knowledge extraction are performed on the structured data of the knowledge base to complete the construction of the knowledge graph, and the application requirements of typical home services are tested. The experimental results show that the constructed knowledge graph can effectively help the service robot to accurately obtain the semantic information of things in the home environment and retrieve the knowledge required for the service so as to ensure the intelligent execution of the home service.