Providing visualisations on top of the WeKG-MF RDF dataset. Research work presented at VOILA'2022 workshop PAPER.
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. Here, 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.
An online demonstrator of the interface is available at https://nadiaya2019.github.io/DemoKGViz/.
This repository contains:
README.md(this file): providing documentation;index.html: the interface Web page, allowing to explore the WeKG-MF SPARQL endpoint visually;css/: contains the style files;js/: gathers JavaScript libraries;LICENSE.md.
Nadia Yacoubi Ayadi https://orcid.org/0000-0002-6132-8718
Damien Graux https://dgraux.github.io/
Catherine Faron https://www.i3s.unice.fr/~faron/
Inria, France
2022