Un modèle pour la représentation des connaissances temporelles dans les documents historiques
This work addresses the problem of temporal representation for historians in digital humanities, but it appears incremental as it adapts existing concepts like fluents to a specific domain.
The paper tackles the challenge of representing temporal knowledge in historical documents for the semantic web, proposing a model based on fluents in RDF graphs that enables reasoning with SWRL and SPARQL, and it is being applied in a project digitizing Ferdinand de Saussure's manuscripts.
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 We propose in this paper a model of temporal knowledge representation adapted to work on historical documents.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.