当文本信息成为与卫星图像兼容的空间信息

E. Kergosien, Hugo Alatrista Salas, M. Gaio, Fabio Guttler, M. Roche, M. Teisseire
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引用次数: 5

摘要

随着网络上文本数据的日益丰富,知识抽取领域的新方法应运而生。一些原始方法允许用户将不同类型的数据组合在一起,以提取相关信息。在此背景下,我们提出了文本文档操作的基础,以及它们为提取与卫星图像中包含的空间信息兼容的准备。定义术语“内存占用”并执行其提取。在本文中,我们描述了ANIMITEX项目的一般过程和一些实验,旨在将来自文本的信息与卫星图像的信息进行匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When textual information becomes spatial information compatible with satellite images
With the amount of textual data available on the web, new methodologies of knowledge extraction domain are provided. Some original methods allow the users to combine different types of data in order to extract relevant information. In this context, we present the cornerstone of manipulations on textual documents and their preparation for extracting compatible spatial information with those contained in satellite images. The term footprint is defined and its extraction is performed. In this paper, we describe the general process and some experiments conducted in the ANIMITEX project, which aims to match the information coming from texts with those of satellite images.
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