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

Dong Liu, Chenghua Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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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Learning systems
Semantics

Cite this

Liu, D., & Lin, C. (2014). Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. In 13th International Semantic Web Conference Italy.

Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. / Liu, Dong ; Lin, Chenghua.

13th International Semantic Web Conference. Italy, 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, D & Lin, C 2014, Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. in 13th International Semantic Web Conference. Italy.
Liu D, Lin C. Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. In 13th International Semantic Web Conference. Italy. 2014
Liu, Dong ; Lin, Chenghua. / Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. 13th International Semantic Web Conference. Italy, 2014.
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