Un mod\`ele pour la repr\'esentation des connaissances temporelles dans
  les documents historiques
  Processing and publishing the data of the historical sciences in the semantic
web is an interesting challenge in which the representation of temporal aspects
plays a key role. We propose in this paper a model of temporal knowledge
representation adapted to work on historical documents. This model is based on
the notion of fluent that is represented in RDF graphs. We show how this model
allows to represent the knowledge necessary to the historians and how it can be
used to reason on this knowledge using the SWRL and SPARQL languages. This
model is being used in a project to digitize, study and publish the manuscripts
of linguist Ferdinand de Saussure.
