When Textual Information Becomes Spatial Information Compatible with Satellite Images

Eric Kergosien (1) , Hugo Alatrista Salas (1) , Mauro Gaio (2) , Fabio N. Güttler (1) , Mathieu Roche (1) , Maguelonne Teisseire (1)

1 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
2 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour

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 XXX project, which aims to match the information coming from texts with those of satellite images.

Mots clés: Natural Language Processing; Information Retrieval; Spatial Information; Land-use Planning

Domaines: Informatique [cs]

Eric Kergosien, Hugo Alatrista Salas, Mauro Gaio, Fabio N. Güttler, Mathieu Roche, et al.. When Textual Information Becomes Spatial Information Compatible with Satellite Images. International Joint Conference on Knowledge Discovery and Information Retrieval (KDIR'2015), Nov 2015, Lisbon, Portugal. pp.301-306, ⟨10.5220/0005606903010306⟩. ⟨hal-01358471⟩