Title: Automatic generation of questions from DBpedia

Authors: Oscar Rodríguez Rocha; Catherine Faron Zucker; Alain Giboin; Aurélie Lagarrigue

Addresses: Université Côte d'Azur, CNRS, Inria, I3S, France ' Université Côte d'Azur, CNRS, Inria, I3S, France ' Université Côte d'Azur, CNRS, Inria, I3S, France ' Université Côte d'Azur, CNRS, Inria, I3S, France

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.

Keywords: e-education; semantic web; linked data.

DOI: 10.1504/IJCEELL.2020.108526

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.3, pp.276 - 294

Received: 21 Sep 2018
Accepted: 24 Apr 2019
Published online: 16 Jul 2020 *

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