Approche ontologique pour la modélisation de carte contextuelle

Bilal Koteich (1) , Éric Saux (1) , Arnaud Grancher

1 IRENAV - Institut de Recherche de l'Ecole Navale

This paper first presents a state of the art of context modeling approaches in an information system. We then propose an approach based on a spatial-temporal ontology to automate the data selection step in the process of making personalized maps. The proposed approach of context modeling takes into consideration the user’s profile and preferences, as well as events related to an environment. We then aim, by logical reasoning, to be able to deduce a selection of categories and objects that will contribute to the creation of a personalized map.

Mots clés: Ontologie; Modélisation du contexte; Cartographie; Raisonnement spatiotemporel

Domaines: Intelligence artificielle [cs.AI]

Bilal Koteich, Éric Saux, Arnaud Grancher. Approche ontologique pour la modélisation de carte contextuelle. Conférence nationale SAGEO'2019 - Spatial Analysis and GEOmatics, Nov 2019, Clermont-Ferrand, France. ⟨hal-03656515⟩