极地科学数据关联方法及应用研究

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。

A Polar Science Linked Data Method and Its Research Application

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.