RDeF: Prosuming Interactive Stories to Train RDF and SPARQL

Fleiner C, Grümmer J, Zvekan G (2022)


Publication Language: English

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2022

Publisher: Association for Computing Machinery

City/Town: New York, NY, USA

Book Volume: 2

Pages Range: 589 - 590

Conference Proceedings Title: ITiCSE ’22: Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education Vol. 2

Event location: Dublin, Ireland IE

ISBN: 9781450392006

DOI: 10.1145/3502717.3532158

Open Access Link: https://doi.org/10.1145/3502717.3532158

Abstract

Traditional database courses mainly focus on managing relational databases, but understanding NoSQL databases is becoming more relevant to computer science students. This also applies to Linked Data with the standards RDF and SPARQL where training material is scarce. Scarcity can be countered by involving students in the creation process. This paper introduces RDeF - - an open-source prosumer framework where students can consume and produce interactive stories to train their RDF and SPARQL skills. Stories are composed of scenes that are created with RDF triples from templates. Within stories, players must identify hidden RDF triples to build the knowledge base and query it by executing SPARQL requests to answer questions.

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APA:

Fleiner, C., Grümmer, J., & Zvekan, G. (2022, July). RDeF: Prosuming Interactive Stories to Train RDF and SPARQL. Paper presentation at 27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022, Dublin, Ireland, IE.

MLA:

Fleiner, Christian, Julian Grümmer, and Goran Zvekan. "RDeF: Prosuming Interactive Stories to Train RDF and SPARQL." Presented at 27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022, Dublin, Ireland New York, NY, USA: Association for Computing Machinery, 2022.

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