A Linked Data Model for Facts, Statements and Beliefs

Ludivine Duroyon 1 François Goasdoué 1 Ioana Manolescu 2
1 SHAMAN - Symbolic and Human-centric view of dAta MANagement
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
Abstract : A frequent journalistic fact-checking scenario is concerned with the analysis of statements made by individuals, whether in public or in private contexts, and the propagation of information and hearsay ("who said/knew what when"). Inspired by our collaboration with fact-checking journalists from Le Monde, France's leading newspaper , we describe here a Linked Data (RDF) model, endowed with formal foundations and semantics, for describing facts, statements, and beliefs. Our model combines temporal and belief dimensions to trace propagation of knowledge between agents along time, and can answer a large variety of interesting questions through RDF query evaluation. A preliminary feasibility study of our model incarnated in a corpus of tweets demonstrates its practical interest.
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-02057980
Contributor : Ludivine Duroyon <>
Submitted on : Tuesday, March 5, 2019 - 5:02:39 PM
Last modification on : Friday, June 14, 2019 - 1:58:54 AM
Long-term archiving on : Thursday, June 6, 2019 - 6:27:16 PM

File

beliefs.pdf
Files produced by the author(s)

Identifiers

Citation

Ludivine Duroyon, François Goasdoué, Ioana Manolescu. A Linked Data Model for Facts, Statements and Beliefs. International Workshop on Misinformation, Computational Fact-Checking and Credible Web, May 2019, San Francisco, United States. ⟨10.1145/3308560.3316737⟩. ⟨hal-02057980⟩

Share

Metrics

Record views

124

Files downloads

195