Automatic question generation with various difficulty levels based on knowledge ontology using a query template

作者：

Highlights：

• Previous ontology-based question generation method based on domain specific model.

• The proposed knowledge ontology allows non-domain specific model to be used for automatic-question generation.

• Knowledge ontology is a combination of taxonomy ontology and sentence ontology.

• Various difficulty-levels of questions can be generated using a non-domain specific question templates.

• This solution could become a breakthrough for developing an automatic question generation in the e-learning system.

摘要

•Previous ontology-based question generation method based on domain specific model.•The proposed knowledge ontology allows non-domain specific model to be used for automatic-question generation.•Knowledge ontology is a combination of taxonomy ontology and sentence ontology.•Various difficulty-levels of questions can be generated using a non-domain specific question templates.•This solution could become a breakthrough for developing an automatic question generation in the e-learning system.

论文关键词：Knowledge ontology,Ontology,Question generation,Query template,Question classification

论文评审过程：Received 20 May 2021, Revised 25 November 2021, Accepted 23 April 2022, Available online 4 May 2022, Version of Record 17 May 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108906