Raboanary, Toky and Keet, C. Maria (2023) An Architecture for Generating Questions, Answers, and Feedback from Ontologies, Proceedings of Metadata and Semantic Research - 16th Research Conference (MTSR 2022), 7-11 November 2022, London, Uk, Communications in Computer and Information Science, 1789, 135--147, Springer.
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Abstract
Automatically generating questions, answers, and feedback from ontologies and conceptual models is crucial for learning activities and knowledge validation. Existing proposals are limited to predefined types of questions and the modelling style that they are tailored to, lack feedback generation, and their core algorithm are dependent on those characteristics, therewith hampering maintainability and reusability. We designed a new architecture where the question, answer and feedback specifications, the core algorithm for selecting the contents from the ontology, and the verbaliser are modularised for resolving these problems. We instantiated the architecture as a proof-of-concept, examined three test cases, and showed that it compares favourably to related work.
| Item Type: | Conference paper |
|---|---|
| Subjects: | Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Ontology engineering |
| Date Deposited: | 09 Nov 2023 09:51 |
| Last Modified: | 09 Nov 2023 09:51 |
| URI: | https://pubs.cs.uct.ac.za/id/eprint/1605 |
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