When Textual Information Becomes Spatial Information Compatible with Satellite Images

被引：0

作者：

Kergosien, Eric ^{[1
]}

Alatrista-Salas, Hugo ^{[2
]}

Gaio, Mauro ^{[3
]}

Guttler, Fabio N. ^{[4
]}

Roche, Mathieu ^{[5
,6
]}

Teisseire, Maguelonne ^{[5
,6
]}

机构：

[1] Univ Lille, GERiiCO, Lille, France

[2] Pontificia Univ Catolica Peru, Lima, Peru

[3] Univ Pau, LIUPPA, Pau, France

[4] Univ Strasbourg, ICube, Strasbourg, France

[5] TETIS, UMR, Montpellier, France

[6] LIRMM, Montpellier, France

来源：

2015 7TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (IC3K) | 2015年

关键词：

Natural Language Processing; Information Retrieval; Spatial Information; Land-use Planning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：301 / 306

页数：6

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