A salience-based approach for the modeling of landscape descriptions

Jean-Marie Le Yaouanc (1) , Eric Saux (1) , Christophe Claramunt (1)

1 IRENAV - Institut de Recherche de l'Ecole Navale

While conventional GIS maps have long been a privileged way for the integration and diffusion of geographical information, novel forms of representation and description of urban and natural environments are nowadays emerging. In particular, verbal and textual descriptions of landscapes are progressively considered as alternative modeling resources for GIS. The research presented in this paper introduces a salience-based approach whose objective is to identify the noticeable entities of a natural landscape description. The model is based on a structural analysis of a given description, where salient entities are identified at the linguistic and structural levels. Salient entities are also spatially qualified according to their relative location with respect to a given observer.

Mots clés: Spatial cognition; Salience; Natural Language Processing

Domaines: Linguistique; Autre [cs.OH]

Jean-Marie Le Yaouanc, Eric Saux, Christophe Claramunt. A salience-based approach for the modeling of landscape descriptions. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2009), Nov 2009, Seattle, Washington, United States. pp.396--399, ⟨10.1145/1653771.1653828⟩. ⟨hal-00529044⟩