This paper presents Sherlock, a semi-automatic quiz generation system for educational purposes. By exploiting semantic and machine learning technologies, Sherlock not only offers a generic framework for domain independent quiz generation, but also provides a mechanism for automatically controlling the difficulty level of the generated quizzes. We evaluate the effectiveness of the system based on three real-world datasets.
|Title of host publication
|13th International Semantic Web Conference
|Place of Publication
|Published - 2014