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
ISBN: 9781450392006
Open Access Link: https://doi.org/10.1145/3502717.3532158
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.
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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