| 一种基于语义推理的智能家居系统研究 |
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| 引用本文： | 吴志勇,丁香乾,候瑞春,于树松,耿圣凯. 一种基于语义推理的智能家居系统研究[J]. 电视技术, 2016, 40(7): 40-44. DOI: 10.16280/j.videoe.2016.07.010 |
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| 作者姓名： | 吴志勇 丁香乾 候瑞春 于树松 耿圣凯 |
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| 作者单位： | 1. 中国海洋大学信息科学与工程学院,山东青岛266100;山东理工大学计算机科学与技术学院,山东淄博255049;2. 中国海洋大学信息科学与工程学院,山东青岛,266100;3. 深圳市神盾信息技术有限公司,广东深圳,518058 |
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| 基金项目： | 国家科技支撑计划项目(2014BAF07B02)；青岛市战略新兴计划项目(14-8-1-7-gx) |
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| 摘 要： | 为提高智能家居系统的智能化,研究实现了一种支持语义推理的智能家居系统,基于自定义的服务规则,该系统能自动提供人性化功能.基于国际标准,化组织OneM2M制定的物联网标准,提出了新的语义架构,增加了设备对象池和指令集模块;结合家庭服务需求,分析了智能家居系统需要提供的服务功能,给出了智能家居设备本体模型结构,并采用OWL进行形式化描述.最后,使用SWRL构建了相应的服务规则,使用Jena推理机进行验证.通过系统验证,该系统能提供多种智能家居服务,而且具有较好的准确性和可靠性.
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| 关 键 词： | 智能家居 语义推理 OneM2M 本体建模 |
| 收稿时间： | 2016-03-10 |
| 修稿时间： | 2016-05-04 |
Research on smart home system based on Semantics Reasoning |
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| WU Zhi-yong,DING Xiangqian,HOU Ruichun,YU Shusong and GENG Shengkai. Research on smart home system based on Semantics Reasoning[J]. Ideo Engineering, 2016, 40(7): 40-44. DOI: 10.16280/j.videoe.2016.07.010 |
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| Authors: | WU Zhi-yong DING Xiangqian HOU Ruichun YU Shusong GENG Shengkai |
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| Affiliation: | School of Information Science and Engineering,Ocean University of China,School of Information Science and Engineering,Ocean University of China,School of Information Science and Engineering,Ocean University of China,School of Information Science and Engineering,Ocean University of China,Shenzhen Sundun Information Technique Co. Ltd. |
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| Abstract: | To improve the intelligence of smart home system, the paper gives the implementation of a smart home system based on semantics reasoning. The system can provide automatically humanized function based on the self-defined rules. A new semantic structure is proposed according to the OneM2M standard which add two modules including device object pool and instruction set. Combined with the home requirement, services of smart home are analyzed. Ontology model structure of the device in the smart home is constructed and described with the OWL. Finally, service rules are defined with SWRL and checked with reasoning machine of Jena. The tests show this system can provide all kinds of smart home services and have better accuracy and reliability. |
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| Keywords: | Smart home Semantics reasoning OneM2M Ontology modeling |
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