物联网语义关联和决策方法的研究

冯建周; 宋沙沙; 孔令富

doi:10.16383/j.aas.2016.c150885

物联网语义关联和决策方法的研究

doi: 10.16383/j.aas.2016.c150885

冯建周^1,2, ,,
宋沙沙^1,2,,
孔令富^1,2,

1.
燕山大学信息科学与工程学院秦皇岛 066004
2.
河北省虚拟技术与系统集成重点实验室秦皇岛 066004

基金项目:

河北省自然科学基金 F2014203192

燕山大学博士基金 B845

详细信息

作者简介:
宋沙沙燕山大学信息科学与工程学院硕士研究生.2015年获得沈阳化工大学计算机科学与技术学院学士学位.主要研究方向为语义Web.E-mail:song@stumail.ysu.edu.cn

孔令富燕山大学信息科学与工程学院教授.1995年获得哈尔滨工业大学机械电子工程专业博士学位.主要研究方向为智能信息处理, 物联网工程.E-mail:lfkong@ysu.edu.cn

通讯作者:
冯建周燕山大学信息科学与工程学院副教授.2013年获燕山大学计算机应用技术专业博士学位.主要研究方向为语义Web, 服务计算. E-mail:fjzwxh@ysu.edu.cn

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出版历程
- 收稿日期: 2015-12-29
- 录用日期: 2016-05-16
- 刊出日期: 2016-11-01

Research on Semantic Association and Decision Method of the Internet of Things

FENG Jian-Zhou^{1,2
, ,},
SONG Sha-Sha^{1,2
,},
KONG Ling-Fu^{1,2
,}

1.
School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004
2.
Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao 066004

Funds:

Supported by Natural Science Foundation of Hebei Province F2014203192

Doctoral Fund of Yanshan University B845

More Information

Author Bio:
Master student at the School of Information Science and Engineering, Yansh-an University. She received her bachelor degree from the School of Computer Science and Technology, Shenyang University of Chemical Technology in 2015. Her main re-search interest is semantic web.)E-mail:

Professor at the School of Information Science and En-gineering, Yanshan University. He re-ceived his Ph. D. degree in machinery and electronics en-gineering at Harbin Institute of Technology in 1995. His research interest covers intelligent information processing and the Internet of Things engineering.E-mail:

Corresponding author: FENG Jian-Zhou Associate pro-fessor at the School of Information Sci-ence and Engineering, Yanshan Univer-sity. He received his Ph. D. degree from computer appli-cation technology at Yanshan University in 2013. His re-search interest covers semantic web and service computing. Corresponding author of this paper.E-mail:fjzwxh@ysu.edu.cn

摘要

摘要: 物联网系统包含大量的感知设备，产生大量孤立和异构的感知数据，形成数据孤岛.如何将不同感知设备产生的数据进行有效的语义关联、构建跨域的数据关联模型、屏蔽数据异构性、实现综合智能决策是物联网研究的关键问题.本文以物联网系统为研究对象，从语义入手，构建以环境—资源—行为为核心的物联网本体模型；基于关联数据方法构建以行为关联模型和资源关联模型为核心的物联网语义关联网络；提出一种基于事件的推理算法实现语义推理，从而更好地实现对物联网系统的智能决策；最后，通过两个智能家居系统的实例验证了本文方法的可行性，通过构建不同方法的查询实例验证了本文方法的优越性.
- 物联网 /
- 数据孤岛 /
- 领域本体 /
- 语义关联 /
- 数据推理
Abstract: The Internet of Things (IoT) system contains a large number of sensing devices, as a result, massive isolated and heterogeneous data are generated and forming isolated islands of data. It is a key issue how to realize the effective semantic association of data produced by different sensing devices, and to construct a cross-domain data correlation model, so as to solve data heterogeneity and realize intelligent decision making. In this paper, with the IoT system as the research object, an IoT ontology model is built with environment-resource-behavior as the core. Based on linked data method, the IoT semantic linked network is constructed with the behavior linked model and the resource linked model as the core. And a reasoning algorithm based on event has been put forward to realize the semantic reasoning, so as to better realize the intelligent decision-making of the IoT system. At last, its feasibility is verified through two examples of smart home system, and its superiority is verified through building different query instances.
- The Internet of Things (IoT) /
- data island /
- domain ontology /
- semantic association /
- data reasoning

HTML全文

图 1 物联网领域本体的层次结构

Fig. 1 The hierarchical structure of IoT domain ontology

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图 2 E-R-B模型

Fig. 2 E-R-B model

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图 3 行为关联模型

Fig. 3 Behavior association model

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图 4 资源关联模型

Fig. 4 Resources association model

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图 5 部分智能家居本体图

Fig. 5 Part of the smart home ontology figure

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图 6 智能家居数据关联模型

Fig. 6 Data association model of smart home

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图 7 Jena推理结果

Fig. 7 Jena reasoning result

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表 1 不同方法的查得率和正确率比较表

Table 1 The comparison table of detection\rate and accuracy

方法编号语义标注和数据关联事件推理查得率(%) 正确率(%)

1 无无 36 24

2 有无 72 60

3 有有 98 98

下载: 导出CSV

参考文献(18)

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物联网语义关联和决策方法的研究

doi: 10.16383/j.aas.2016.c150885

通讯作者:
冯建周燕山大学信息科学与工程学院副教授.2013年获燕山大学计算机应用技术专业博士学位.主要研究方向为语义Web, 服务计算. E-mail:fjzwxh@ysu.edu.cn

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Research on Semantic Association and Decision Method of the Internet of Things

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目录

方法编号	语义标注和数据关联	事件推理	查得率(%)	正确率(%)
1	无	无	36	24
2	有	无	72	60
3	有	有	98	98

留言板

物联网语义关联和决策方法的研究

doi: 10.16383/j.aas.2016.c150885

通讯作者: 冯建周 燕山大学信息科学与工程学院副教授.2013年获燕山大学计算机应用技术专业博士学位.主要研究方向为语义Web, 服务计算. E-mail:fjzwxh@ysu.edu.cn

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出版历程

Research on Semantic Association and Decision Method of the Internet of Things

计量

出版历程

目录

通讯作者:
冯建周燕山大学信息科学与工程学院副教授.2013年获燕山大学计算机应用技术专业博士学位.主要研究方向为语义Web, 服务计算. E-mail:fjzwxh@ysu.edu.cn