Abstract
Educational quizzes are useful not only to evaluate or test the knowledge acquired by a learner, but also to help her/him to deepen knowledge about a specific domain or topic in an informal and entertaining way. The production of 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). However, automatically extracting from the LOD a knowledge graph composed by the information of a set of resources which are relevant to a given specific domain or topic, is a crucial phase for the automatic generation of quizzes.
To address this issue, we propose a heuristic that extracts from DBpedia a set of resources related to a given specific domain. Such heuristic has been implemented and used for the automatic generation of quizzes in the geography and privacy domains. We report a comparative user evaluation of it.
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Rodríguez Rocha, O., Faron Zucker, C., Giboin, A. (2018). Extraction of Relevant Resources and Questions from DBpedia to Automatically Generate Quizzes on Specific Domains. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_43
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DOI: https://doi.org/10.1007/978-3-319-91464-0_43
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