Camille Bernard

Camille Bernard
University of Grenoble · LIG laboratory - STeamer team

PhD. in Computer Science
Associate Professor at Univ. Grenoble Alpes

About

14
Publications
1,535
Reads
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23
Citations
Citations since 2017
12 Research Items
23 Citations
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20172018201920202021202220230246810
Introduction
Mes recherches visent à représenter dans le Web des données distribuées, aussi appelé Linked Open Data (LOD) Web, l'évolution au cours du temps de données. Dans bien des domaines, ne disposer que des dernières versions d'un jeu de données ou disposer de plusieurs versions de ces jeux mais sans lien entre eux, ne permet pas aux utilisateurs de bien comprendre les données et leur évolution. Mon objectif est de créer et alimenter automatiquement un graphe de connaissances spatio-tempore

Publications

Publications (14)
Article
This article presents the Theseus Framework designed for the automatic creation of knowledge graphs (KGs) that describe the evolution of geographical divisions (GD) over time. This framework is based on an ontological model dedicated to the representation of evolving GD (e.g., divisions into regions, districts, municipalities). Both the detection a...
Chapter
Nowadays, the volume of data coming from the public sector is growing rapidly on the Open Data Web. Most of these data come from governmental agencies such as Statistical and Mapping Agencies. Together, these public institutions publish territorial statistics that are of utmost importance for policy-makers to conduct various analyses of their juris...
Conference Paper
Full-text available
Partout dans le monde, les découpages géographiques, dont les territoires font l'objet, sont soumis à des modifications de noms, d'affiliations, de frontières, etc. Ces changements sont un obstacle à la comparabilité des données statistiques (socio-économiques, sanitaires, environnementales...) mesurées sur ces territoires sur de longues périodes....
Thesis
Full-text available
Nowadays, the volume of data coming from the public sector is growing rapidly on the Open Data Web. Most of data come from governmental agencies such as Statistical and Mapping Agencies. Together, these public institutions publish geo-coded statistics that are of utmost importance for policy-makers to conduct various analyses upon their jurisdictio...
Article
Deux ontologies spatio-temporelles sont présentées ici : TSN, pour Territo- rial Statistical Nomenclature, et TSN-Change. Ces ontologies permettent la description de découpages territoriaux (en polygones irréguliers), utilisés comme support à la collecte de statistiques. Elles offrent un vocabulaire pour lier les versions successives de ces découpa...
Poster
Full-text available
Generic algorithm for automatic matching and changes detection between two Geographic Divisions' versions. This work was supported by the French region Auvergne-Rhône-Alpes [grant number REGION 2015-DRH-0367]. ARC7 : Innovations, mobilités, territoires et dynamiques urbaines.
Conference Paper
Full-text available
Through times, regions all over the world are very often subject to change (their names, their belonging, their composition, and their geometries). In this paper, we present a Semantic Matching Algorithm for automatically detecting, describing and publishing in the Linked Open Data Web, rich descriptions of changes occurring in multi-level territor...
Conference Paper
Full-text available
Territories are governed, administered and observed from parti- tions of space into territorial units. All these territorial partitions change over time, for political or administrative reasons. In this paper, we present two innovative ontologies – Territorial Statistical Nomenclature (TSN) and TSN-Change – for the modeling of terri- torial partiti...
Conference Paper
Full-text available
Deux ontologies spatio-temporelles sont présentées ici : TSN, pour Territorial Statistical Nomenclature, et TSN-Change. Ces ontologies permettent la description de découpages territoriaux (en polygones irréguliers), utilisés comme support à la collecte de statistiques. Elles offrent un vocabulaire pour lier les versions successives de ces découpage...
Article
The ESPON M4D Project entails gathering, verifying, integrating and presenting the territorial data produced by ESPON Applied Research Projects. The main challenges that the project faced were firstly managing, standardising and coordinating a wealth of diverse data, ensuring data quality and traceability. The second hurdle was the creation of track...
Article
Full-text available
The ESPON M4D Project entails gathering, verifying, integrating and presenting the territorial data produced by ESPON Applied Research Projects. The main challenges that the project faced were firstly managing, standardising and coordinating a wealth of diverse data, ensuring data quality and traceability. The second hurdle was the creation of trac...
Article
Full-text available
The observation of demographical, economical or environmental indicators over time through maps is crucial. It enables analysing territories and helps stakeholders to take decisions. However, the understanding of Territorial Statistical Information (TSI) is compromised unless comprehensive description of both the statistical methodology used and th...
Conference Paper
Full-text available
L'information à référence spatiale doit aujourd'hui respecter des normes pour garantir l'interopérabilité des systèmes de données. Si les normes ISO recommandées par la directive INSPIRE en vigueur sont adaptées aux données environnementales, mettre en oeuvre la directive pour des données statistiques territoriales nécessite des adaptations. Le mod...

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Projects

Projects (2)
Archived project
Project
http://purl.org/steamer/tsndoc Linked Open Description of Geographic Divisions changes over time. TSNs (Territorial Statistical Nomenclatures) are geographic divisions built by Statistical Institutes, usually deriving from electoral or administrative structure. TSNs geographic divisions change over time. The TSN and TSN-Change Ontologies (Territorial Statistical Nomenclature Ontology) enable the description of any geographic divisions for statistics into the Web of Linked Data and, above all, rich descriptions of territorial changes from one geographic divisions version to another.