极地研究

极地研究 ›› 2016, Vol. 28 ›› Issue (3): 361-369.DOI: 10.13679/j.jdyj.2016.3.361

• 研究论文 • 上一篇    下一篇

极地科学数据关联方法及应用研究

罗侃1,2，诸云强1，程文芳3，张洁3，侯志伟1,2，王东旭1,2   

  1. 1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室，北京 100101
    2. 中国科学院大学，北京 100049
    3. 中国极地研究中心，上海 200136
  • 收稿日期:2015-04-29 修回日期:2015-05-12 出版日期:2016-09-30 发布日期:2016-09-30
  • 通讯作者: 诸云强
  • 基金资助:

    国家自然科学基金项目(41371381)、科技基础性工作专项项目(2013FY110900)和国家科技基础条件平台项目(2005DKA32300)资助

A Polar Science Linked Data Method and Its Research Application

Luo Kan1,2，Zhu Yunqiang1，Cheng Wenfang3，Zhang Jie3，Hou Zhiwei1,2，Wang Dongxu1,2   

  • Received:2015-04-29 Revised:2015-05-12 Online:2016-09-30 Published:2016-09-30

PDF (PC)

1047

被引次数

10

摘要： 为了从海量极地科学数据中准确、智能地发现用户所需要的数据，首先，系统研究分析极地科学数据特征，挖掘极地科学数据本身隐含的语义信息，建立极地科学数据关联指标体系；其次，研究极地科学数据关联方法，最后设计并实现极地科学数据关联查询应用原型系统。以极地科学数据共享平台的元数据作为语料库，自动抽取极地科学数据关联指标数据，实现极地科学数据集之间的自动关联。应用实践表明，利用极地科学数据关联方法不仅可直接检索出满足条件的数据，还可以检索出潜在的相关联的数据。该关联方法研究可促进极地科学数据的集成、融合与共享应用。

关键词: 极地, 关联, 语义网, 数据共享

Abstract: To accurately and intelligently find data and information among massive polar science datasets, this paper proposes a linked data method for polar science data searching. Firstly, a systematic study of the characteristics of polar science data was conducted to discover the implied semantic information of these datasets. Secondly, a polar science linked data index system containing three aspects and four-level indices was built. Thirdly, a linked calculation method of the essential characteristics of polar science data was discussed in detail. In general, essential data characteristics include temporal, spatial and content elements. Finally, we designed and implemented a prototype system for polar science linked data discovery based on the Polar Science Data Center of the National Earth System Science Data Sharing Platform, which is one of the 23 platforms of the National Science and Technology Infrastructure. In an experimental environment, it uses the metadata of polar science datasets to abstract the corresponding index value, and then it calculates the degree of correlation among different datasets. Thus, a polar science linked data network can be built automatically. The results showed that by using the polar science linked data method, the prototype system can retrieve not only needed data, but also potential linked data. Such linked data method research can be further used to integrate, fuse, and share polar science data.

Key words: Polar, Linked, Semantic network, Data sharing