Skip to Main content Skip to Navigation
Theses

Continuum : un modèle spatio-temporel et sémantique pour la découverte de phénomènes dynamiques au sein d’environnements géospatiaux

Abstract : There is a need for decision-makers to be provided with both an overview of existing knowledge, and information which is as complete and up-to-date as possible on changes in certain features of the biosphere. Another objective is to bring together all the many attempts which have been made over the years at various levels (international, Community, national and regional) to obtain more information on the environment and the way it is changing. As a result, remote sensing tools monitor large amount of land cover informations enabling study of dynamic processes. However the size of the dataset require new tools to identify pattern and extract knowledge. We propose a model to discover knowledge on parcel data allowing analysis of dynamic geospatial phenomena using time, spatial and thematic data. The model is called Continuum and is able to track the evolution of spatial entities along time. Based on semantic web technologies, the model allows users to specify and to query spatio-temporal informations based on semantic de?nitions. The semantic of spatial relationships are of interest to qualify filiation relationships. The result of this process permit to identify evolutive patterns as a basis for studying the dynamics of the geospatial environment. To this end, we use CORINE datasets to study changes in a speci?c part of France. In our approach, we consider entities as having several representations during their lifecycle. Each representation includes identity, spatial and descriptives properties that evolve over time.
Complete list of metadatas

https://hal.archives-ouvertes.fr/tel-01274530
Contributor : Christophe Cruz <>
Submitted on : Monday, February 15, 2016 - 9:34:07 PM
Last modification on : Monday, March 30, 2020 - 8:55:05 AM
Document(s) archivé(s) le : Saturday, November 12, 2016 - 10:22:43 PM

Identifiers

  • HAL Id : tel-01274530, version 1

Citation

Benjamin Harbelot. Continuum : un modèle spatio-temporel et sémantique pour la découverte de phénomènes dynamiques au sein d’environnements géospatiaux. Intelligence artificielle [cs.AI]. Université de Bourgogne, 2015. Français. ⟨tel-01274530⟩

Share

Metrics

Record views

359

Files downloads

671