主催: 人工知能学会
会議名: 第74回 先進的学習科学と工学研究会
回次: 74
開催地: 信州大学 長野(工学)キャンパス 情報工学科棟1階 講義室
開催日: 2015/07/18
p. 06-
The objective of this research is to propose a method to create natural language history questions using current LOD. By combining LOD with a history domain ontology and a history domain dependent question ontology specifying a domain-independent taxonomy, our method can generate content-dependent questions. To be able to support learning, the quality of the questions need to be high. We evaluated the quality of the generated questions by asking a human expert to compare them to questions created by human. The results showed that the system generated question could cover most (84%) of the question supporting basic knowledge acquisition. The results also confirmed that the system generated questions could enhance historical thinking with the same average quality as human generated questions.