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家庭智能空间下多领域知识的共享与重用方法
引用本文:张营,田国会,张森彦,李泚泚.家庭智能空间下多领域知识的共享与重用方法[J].机器人,2019,41(4):507-518.
作者姓名:张营  田国会  张森彦  李泚泚
作者单位:山东大学控制科学与工程学院,山东 济南,250061;山东大学控制科学与工程学院,山东 济南,250061;山东大学控制科学与工程学院,山东 济南,250061;山东大学控制科学与工程学院,山东 济南,250061
基金项目:国家自然科学基金;国家自然科学基金;山东省自然科学基金;山东省泰山学者工程
摘    要:为充分利用家庭环境中的多领域知识和提高服务质量,基于家庭智能空间提出了一种多领域知识的共享与重用方法.首先,根据先验知识构建基于本体的多领域知识模型,在此基础上,结合软件智能体实现知识的自动表征,解决数据的异构性问题和促进知识的共享与重用.然后根据用户的日常行为活动,提出一种基于多传感器和活动模板的行为活动理解方法,实现用户意图的识别和服务的推理.为降低计算成本和提高服务质量,通过重用行为活动领域知识实现服务执行序列的获取和动作的引导,并融合仿真系统生成的服务执行策略和物品领域共享的物品知识高效地执行机器人服务,从而提升服务执行的智能化水平.最后,实验结果表明了方法的有效性和可行性.

关 键 词:智能空间  知识表征  服务机器人  仿真系统  知识共享与重用  活动识别

Multi-domain Knowledge Sharing and Reuse in Home Intelligent Space
Affiliation:(School of Control Science and Engineering,Shandong University,Jinan 250061,China)
Abstract:In order to make full use of multi-domain knowledge and improve the quality of service in the home envi ronment, a multi-domain knowledge sharing and reuse method is proposed based on the home intelligent space. Firstly, an ontology-based multi-domain knowledge model is built in the light of the prior knowledge. On this basis, the software agent is used to achieve knowledge representation automatically, addressing the problem of data heterogeneity and facilitating the knowledge sharing and reuse. Then, according to the user's activities of daily living, an activity understanding approach is presented based on multiple sensors and an activity template to realize the user intention recognition and the service inference. Moreover, the acquisition of service sequences and the guidance of actions can be achieved by reusing the domain knowledge of human activity, and thus the calculation costs are reduced and the quality of service is improved. And the robot services are effectively executed through integrating the service execution strategy generated by the simulation system and the shared object knowledge in object domain, so as to improve the intelligence level of service execution. Finally, the experimental results are provided to show the effectiveness and feasibility of the proposed method.
Keywords:intelligent space  knowledge representation  service robot  simulation system  knowledge sharing and reuse  activity recognition
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