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Extraction of Relevant Resources and Questions from DBpedia to Automatically Generate Quizzes on Specific Domains

By Oscar Rodríguez Rocha, Catherine Faron Zucker and Alain Giboin

Abstract

International audienceEducational 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

Topics: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-WB]Computer Science [cs]/Web, [SHS.EDU]Humanities and Social Sciences/Education
Publisher: HAL CCSD
Year: 2018
OAI identifier: oai:HAL:hal-01811490v1
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