When textual information becomes spatial information compatible with satellite images

Eric Kergosien, Hugo Alatrista-Salas, Mauro Gaio, Fábio N. Güttler, Mathieu Roche, Maguelonne Teisseire

Research output: Contribution to conferencePaper

6 Scopus citations

Abstract

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.
Original languageEnglish
Pages301-306
Number of pages6
DOIs
StatePublished - 1 Jan 2015
Externally publishedYes
EventIC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management -
Duration: 1 Jan 2015 → …

Conference

ConferenceIC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Period1/01/15 → …

Keywords

  • Information retrieval
  • Land-use planning
  • Natural language processing
  • Spatial information

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