Abstract
In this paper, we present a methodology to generate diagrammatical multiple choice questions from a knowledge base. When considering a knowledge base, the main strategies discussed in the literature are class-based, property-based and terminology-based, and the generated multiple choice questions are typical with all the choices (correct answer and distractors) being of atomic types such as plain text. In this paper, we introduce graph-based strategies, enabling the generation of choices (correct answer and distractors) in the form of complex structures such as diagrams, and discuss different approaches to take into account difficulty levels when generating the questions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of eKNOW 2015 |
| Subtitle of host publication | The Seventh International Conference on Information, Process, and Knowledge Management |
| Editors | Dirk Malzahn, Conceição Granja |
| Place of Publication | Red Hook NY USA |
| Publisher | Curran Associates |
| Pages | 172-175 |
| Number of pages | 3 |
| ISBN (Print) | 9781510800342 |
| Publication status | Published - 2015 |
| Externally published | Yes |