Skip to Main content Skip to Navigation
Journal articles

Automatic Generation of Questions from DBpedia

Abstract : The production of Educational quizzes is a time-consuming task that can be automated by taking advantage of existing knowledge bases available on the Web of Linked Open Data (LOD) such as DBpedia. For these quizzes to be useful to learners, their questions must be generated in compliance with the knowledge and skills necessary to master for each subject and school year according to the official educational standards. We present an approach that exploits structured knowledge bases that contain the knowledge and skills, from which it selects a set of DBpedia resources relevant to a specific school subject and year. This set of resources is enriched with additional related resources, through the NEFCE heuristic. Finally, question generation strategies are applied to the graph generated with this set of resulting resources. Likewise, we provide an evaluation of two knowledge bases and of the proposed NEFCE heuristics.
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02571170
Contributor : Oscar Rodríguez Rocha <>
Submitted on : Tuesday, May 12, 2020 - 4:40:23 PM
Last modification on : Tuesday, May 26, 2020 - 6:50:42 PM

File

IJCEELL__major_revision_.pdf
Files produced by the author(s)

Identifiers

Citation

Oscar Rodríguez Rocha, Catherine Faron Zucker, Alain Giboin, Aurélie Lagarrigue. Automatic Generation of Questions from DBpedia. International Journal of Continuing Engineering Education and Life-Long Learning, Inderscience, 2020, x (1), pp.1. ⟨10.1504/IJCEELL.2020.10024221⟩. ⟨hal-02571170⟩

Share

Metrics

Record views

69

Files downloads

43