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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: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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
Title of host publicationProceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Managemen
EditorsAna Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-306
Number of pages6
ISBN (Electronic)978-989-758-164-9
StatePublished - 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 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

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

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