Clover Quiz: a trivia game powered by DBpedia

Tracking #: 1826-3039

Guillermo Vega Gorgojo

Responsible editor: 
Jens Lehmann

Submission type: 
Application Report
DBpedia is a large-scale and multilingual knowledge base generated by extracting structured data from Wikipedia. There have been several attempts to use DBpedia to generate questions for trivia games, but these initiatives have not succeeded to produce large, varied, and entertaining question sets. Moreover, latency is too high for an interactive game if questions are created by submitting live queries to the public DBpedia endpoint. These limitations are addressed in Clover Quiz, a turn-based multiplayer trivia game for Android devices with more than 200K multiple choice questions (in English and Spanish) about different domains generated out of DBpedia. Questions are created off-line through a data extraction pipeline and a versatile template-based mechanism. A back-end server manages the question set and the associated images, while a mobile app has been developed and released in Google Play. The game is available free of charge and has been downloaded by more than 5K users since the game was released in March 2017. Players have answered more than 614K questions and the overall rating of the game is 4.3 out of 5.0. Therefore, Clover Quiz demonstrates the advantages of semantic technologies for collecting data and automating the generation of multiple choice questions in a scalable way.
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Solicited Reviews:
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Review #1
By Vinu Ellampallil Venugopal submitted on 02/May/2018
Review Comment:

The author had addressed all my comments.

I believe the manuscript clearly suffice the requirement of an application report and, it can be accepted to warrant publication.

Minor changes:
"The main advantages for using ontologies are their ability to generate deep questions
and their ability to produce good distractors." // You may give more clarity on what the word "deep" means in this context.

Review #2
By Dhaval Thakker submitted on 14/May/2018
Review Comment:

The authors have addressed all of my comments well and I am happy for this to be accepted. I would still suggest the authors to proof read once more before final publication.

Review #3
By Agis Papantoniou submitted on 16/May/2018
Review Comment:

This manuscript was submitted as 'Application Report' and should be reviewed along the following dimensions: (1) Quality, importance, and impact of the described application (convincing evidence must be provided). (2) Clarity and readability of the describing paper, which shall convey to the reader the key ideas regarding the application of Semantic Web technologies in the application.