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A semantic-based approach for landscape identification

Toulet Anne, Roux Emmanuel, Laques Anne-Elisabeth, Delaitre Eric, Demagistri Laurent, Mougenot Isabelle. 2019. A semantic-based approach for landscape identification. In : Advances In knowledge discovery and management. Volume 8. Pinaud Bruno (ed.), Guillet Fabrice (ed.), Gandon Fabien (ed.), Largeron Christine (ed.). Cham : Springer, pp. 119-136. (Studies in Computational Intelligence, 834, 834) ISBN 978-3-030-18128-4

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Abstract : Here we present an original method for the automation of landscape identification in a satellite image. There are two major challenges in this process. The first lies in the ability to take all expert knowledge into account for the full time it takes to analyze the image. The second is successfully structuring and persisting this knowledge so that it becomes interoperable and usable in the Semantic Web context. In this paper, we explain how the combination of several strategies associating image processing, the calculation of specific characteristics and inductive logic programming (ILP) can feed into the automation process, and how the integration of knowledge via the construction of dedicated ontologies can meet these challenges.

Mots-clés Agrovoc : Cartographie de l'occupation du sol, ontologie de domaine, Télédétection

Mots-clés libres : Knowledge modeling, Ontologies, Inductive logic programming (ILP), Satellite image, Landscape identification

Classification Agris : U30 - Research methods
U10 - Computer science, mathematics and statistics
C30 - Documentation and information

Auteurs et affiliations

  • Toulet Anne, Université de Montpellier (FRA) ORCID: 0000-0003-0463-0854 - auteur correspondant
  • Roux Emmanuel, IRD (FRA)
  • Laques Anne-Elisabeth, IRD (FRA)
  • Delaitre Eric, IRD (FRA)
  • Demagistri Laurent, IRD (FRA)
  • Mougenot Isabelle, Université de Montpellier (FRA) - auteur correspondant

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593089/)

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