Sherlock: a Semi-Automatic Quiz Generation System using Linked Data

Dong Liu, Chenghua Lin

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

10 Citations (Scopus)


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.
Original languageEnglish
Title of host publication13th International Semantic Web Conference
Place of PublicationItaly
Publication statusPublished - 2014


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