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A Semantic and Language-Based Model of Landscape Scenes

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Book cover Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

The modelling of landscape environment is a cognitive activity, that still requires novel kinds of spatial representations. This paper introduces a structural categorisation of a landscape view based on panoramic photographs that act a substitute of a given natural environment. Verbal descriptions of a landscape scene provide the modelling input of our approach. The structural-based representation identifies the spatial, relational and semantic constructs that emerge from these descriptions. A landscape view is modelled according to the structure of its language description. Concepts in the environment are qualified according to an ontological classification, their proximity to the observer, and the relations that qualify them. The resulting model is schematised by a music score-based representation that constitutes a modelling support for the study of environmental descriptions.

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Author information

Authors and Affiliations

  1. Naval Academy Research Institute, BP 600, 29240, Brest Naval, France

    Jean-Marie Le Yaouanc, Éric Saux & Christophe Claramunt

Authors
  1. Jean-Marie Le Yaouanc
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  2. Éric Saux
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  3. Christophe Claramunt
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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© 2008 Springer-Verlag Berlin Heidelberg

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Le Yaouanc, JM., Saux, É., Claramunt, C. (2008). A Semantic and Language-Based Model of Landscape Scenes. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_40

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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