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    陈真勇, 徐州川, 李清广, 吕卫锋, 熊 璋. 一种新的智慧城市数据共享和融合框架——SCLDF[J]. 计算机研究与发展, 2014, 51(2): 290-301.
    引用本文: 陈真勇, 徐州川, 李清广, 吕卫锋, 熊 璋. 一种新的智慧城市数据共享和融合框架——SCLDF[J]. 计算机研究与发展, 2014, 51(2): 290-301.
    Chen Zhenyong, Xu Zhouchuan, Li Qingguang, Lü Weifeng, Xiong Zhang. A Novel Framework of Data Sharing and Fusion in Smart City—SCLDF[J]. Journal of Computer Research and Development, 2014, 51(2): 290-301.
    Citation: Chen Zhenyong, Xu Zhouchuan, Li Qingguang, Lü Weifeng, Xiong Zhang. A Novel Framework of Data Sharing and Fusion in Smart City—SCLDF[J]. Journal of Computer Research and Development, 2014, 51(2): 290-301.

    一种新的智慧城市数据共享和融合框架——SCLDF

    A Novel Framework of Data Sharing and Fusion in Smart City—SCLDF

    • 摘要: 智慧城市是物联网、云计算、移动网络、大数据等为代表的信息技术与城市化发展相结合的产物.如何有效地实现对智慧城市中海量、异构、多源数据的数据共享和融合是智慧城市必须要解决的核心问题.首先分析了传统数据融合技术的特点,然后阐述了当前可以用来解决智慧城市大数据共享和融合问题的技术.在此基础上提出了一种新的智慧城市数据共享和融合框架——智慧城市数据互联框架(smart city linked data framework),并详细阐述了其总体架构以及架构中每层的作用、关键技术和需要解决的问题,最后详细阐述了数据语义标注标签和数据互联层相关问题.

       

      Abstract: Smart city is a new concept and model of urban development, and it is the combination of urbanization development and the new generation of information technologies such as Internet of Things, cloud computing, mobile network and big data. With the explosive growth of the quantity of data in cities, how to share and fuse the massive, heterogeneous, multi-source data in smart city becomes a core issue which must be solved. In this paper, the characteristics and drawbacks of traditional data sharing and fusion technologies are firstly described and analyzed in details, and then some frameworks and thoughts such as semantic Web, data vitalization and Internet of data, which may resolve the data sharing and fusion problems in smart city, are introduced. Based on these studies, a new framework of data sharing and fusion in smart city—smart city linked data framework is proposed. Then the overall layered structure, advantages against the other relevant frameworks and technologies are described briefly. Next, the functions, technologies and challenges of each layer are described in details. The concept of data semantic annotation tag (DSAT) are proposed. And the technologies, methods and classifications of DSAT are described in details. At last, the relevant issues about data linked layer are analyzed in details.

       

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