Incremental Reasoning on RDFS

Jules Chevalier (1) , Julien Subercaze (1) , Christophe Gravier (1) , Frederique Laforest (1)

1 LHC - Laboratoire Hubert Curien

The Semantic Web enables to describe knowledge from data and leverage implicit knowledge through reasoning algorithms. The main limitations of current reasoning methods are the lack of scalability for large datasets and their inability to reason over knowledge from evolving data. We contribute solving these problems by introducing Slider, an efficient incremental reasoner.

Mots clés: reasoning; incremental reasoning; rdfs; slider

Domaines: Base de données [cs.DB]

Jules Chevalier, Julien Subercaze, Christophe Gravier, Frederique Laforest. Incremental Reasoning on RDFS. The Fourteenth International Symposium on Intelligent Data Analysis, Oct 2015, Saint Etienne, France. ⟨hal-01261407⟩