The amount of Linked Data has been growing increasingly. However, the efficient use of that
knowledge is hindered by the lack of information about the data structure. This is reflected by …

Grounded on real industrial use cases, we recently proposed an ontology-based visual
query system for SPARQL, named OptiqueVQS. Ontology-based visual query systems …

When we write a SPARQL query, we need to know the structure of the dataset. In the relation
databases the tables have a scheme, but the semantic data do not have. Autocompletion …

The usage of the semantic data is complicated for non-expert users, because the data are
on many different SPARQL endpoints and the users need to know the URL of the endpoints …

SPARQL s' est imposé comme le langage de requêtes le plus utilisé pour accéder aux
masses de données RDF disponibles sur le Web. Néanmoins, rédiger une requête en …

We describe an autocompletion system, that is able to help users formulate complex
SPARQL queries on large knowledge bases. As the user types a SPARQL query, they are …

Knowledge management systems for asynchronous knowledge sharing–such as Intranets,
Wikis, or file shares–often suffer from a lack of contributions. This is mainly because …

Le Center for Data Science de l'Université Paris-Saclay a déployé une plateforme
compatible avec le Linked Data en 2016. Or, les chercheurs rencontrent face à ces …

Abstract The Center for Data Science of the University of Paris-Saclay deployed a platform
compatible with Linked Data in 2016. Because researchers face many difficulties utilizing …