Multi-Level Visual Tours of Weather Linked Data - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2022

Multi-Level Visual Tours of Weather Linked Data

Abstract

The recent trend of adopting linked-data principles to integrate and publish semantically described open data using W3C standards has led to a large amount of available resources. In particular, meteorological sensor data have been uplifted into public weather-focused RDF graphs, such as WeKG-MF which offers access to a large set of meteorological variables described through spatial and temporal dimensions. Nevertheless, these resources include huge numbers of raw observations that are tedious to explore by lay users. In this article, we aim at providing them with visual exploratory "tours", benefiting from RDF data cubes to present high-level aggregated views together with on-demand fine-grained details through a unified Web interface.
Fichier principal
Vignette du fichier
PaperVoila9104.pdf (1.2 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03890035 , version 1 (08-12-2022)

Identifiers

  • HAL Id : hal-03890035 , version 1

Cite

Nadia Yacoubi, Damien Graux, Catherine Faron. Multi-Level Visual Tours of Weather Linked Data. Proceedings of the Seventh International Workshop on the Visualization and Interaction for Ontologies and Linked Data (VOILA) co-located with the 21st International Semantic Web Conference, Oct 2022, Hangzhou, China. ⟨hal-03890035⟩
81 View
55 Download

Share

More