[1]吴珺,谢树泉,王春枝.基于语义的隧联网数据整合方法[J].智能系统学报,2014,9(06):704-708.[doi:10.3969/j.issn.1673-4785.201309032]
 WU Jun,XIE Shuquan,WANG Chunzhi.Data integration for tunnel network based on semantic[J].CAAI Transactions on Intelligent Systems,2014,9(06):704-708.[doi:10.3969/j.issn.1673-4785.201309032]
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基于语义的隧联网数据整合方法
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第9卷
期数:
2014年06期
页码:
704-708
栏目:
出版日期:
2014-12-25

文章信息/Info

Title:
Data integration for tunnel network based on semantic
作者:
吴珺12 谢树泉2 王春枝1
1. 湖北工业大学 计算机学院, 湖北 武汉 430068;
2. 武汉理工大学 计算机科学与技术学院, 湖北 武汉 430070
Author(s):
WU Jun12 XIE Shuquan2 WANG Chunzhi1
1. School of Computer Science, Hubei University of Technology, Wuhan 430068, China;
2. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China
关键词:
隧联网系统异构语义异构数据整合语义字典
Keywords:
tunnels networkstructural heterogeneitysemantic heterogeneitydata integrationsemantic dictionary
分类号:
TP18
DOI:
10.3969/j.issn.1673-4785.201309032
文献标志码:
A
摘要:
通过构建隧联网实现多个城市隧道监控系统的深层次数据共享与协同应用。隧联网可提供应急管理、城市规划建设和隧道长期监控等服务,实现各个城市隧道监控系统间的协同调度与联动控制;同时丰富物联网技术的应用,提高隧道联网智能监控水平。针对隧联网数据整合进行研究,首先通过构建隧联网联邦数据库实现各个城市隧道数据库的数据共享;然后给出标准化的隧联网数据字典;其次通过基于语义的数据整合方法实现隧联网数据的整合和查询。实现了隧联网数据的统一管理和关联性查询应用,其中的每个城市隧道监控系统实现数据的共享和信息互联,增加隧联网系统数据的利用率和信息的可信程度。
Abstract:
This paper gives a brief introduction about the tunnels internet, which is the main background of this research work. Next, an analysis of the heterogeneity is provided, which is used to find the solution for doing data integration. In order to achieve the data integration for the tunnels network, it considers how to construct the tunnels internet federal database, which has its own standardized data semantic dictionary. Lastly, it proposes a new semantic data integration method for the tunnels network, which could be applied on data integration and query. The result showed that this method can achieve data sharing and information network in the tunnels network and enhance the data efficiency.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-9-10;改回日期:。
基金项目:国家自然科学基金资助项目(61170135);湖北省自然科学基金资助项目(2014CFB590);湖北工业大学博士启动基金资助项目(BSQD13039).
作者简介:吴珺,女,1984年生,讲师,博士,主要研究方向为物联网技术、智能方法及应用、数据挖掘;王春枝,女,1963年生,教授,博士。主要研究方向为计算机网络,智能方法,发表学术论文多篇。
通讯作者:吴珺.E-mail:wujun@whut.edu.cn.
更新日期/Last Update: 2015-06-16