利用标签辅助地理空间数据分类

Label-assisted Classification of Geospatial Data

近年来地理空间数据不断增长,数据种类也越来越多,如何搜索和发现合适的数据已成为一项繁重的任务。针对该问题,引入了利用标签分类的思想,提出了一种地理空间数据标签提取方法,用于从多源地理空间数据中提取反映其特征的标签,并以湖南省地理空间数据交换共享平台为例进行了实验。实验结果表明,该方法切实可行,能弥补传统分类方式的缺陷,有助于地理空间数据共享。

With the rapid increase in the amount and types of geospatial data in recent years, how to search and find suitable geospatial data has become a heavy task. To solve this problem, this paper introduced an idea of using label to classify geospatial data and proposed a method to extract labels from multi-source geospatial data which can reflect its characteristics. This paper took the Geospatial Data Exchange and Sharing Platform of Hunan as an example. The experiment results show that the method is feasible, can make up for the shortcomings of traditional classification methods and contributes to the sharing of geospatial data.