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Article type: Research Article
Authors: Vega-Gorgojo, Guillermoa; b; c; *
Affiliations: [a] Don Naipe AS, Oslo, Norway | [b] Department of Informatics, University of Oslo, Norway | [c] School of Telecommunications Engineering, Universidad de Valladolid, Spain
Correspondence: [*] Corresponding author. E-mail: guiveg@ifi.uio.no.
Abstract: 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.
Keywords: Knowledge extraction, DBpedia, trivia game, multiple choice question, mobile app
DOI: 10.3233/SW-180326
Journal: Semantic Web, vol. 10, no. 4, pp. 779-793, 2019
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