Creation and Utilisation of Domain Specific Knowledge Graphs (DSKG) for E-Learning
dc.contributor.author | Meissner, Roy | |
dc.contributor.author | Thor, Andreas | |
dc.contributor.editor | Kienle, Andrea | |
dc.contributor.editor | Harrer, Andreas | |
dc.contributor.editor | Haake, Joerg M. | |
dc.contributor.editor | Lingnau, Andreas | |
dc.date.accessioned | 2021-08-25T08:21:51Z | |
dc.date.available | 2021-08-25T08:21:51Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Educational domain models are building blocks for educational software. Unfortunately, such domain models require high manual effort to be created, are quickly outdated and are thus rarely used at all. A novel way to create such models is proposed with this paper, utilising knowledge mapping algorithms, natural language processing tools, a semantic web architecture and integration with online knowledge bases. The developed processes and tools make it fast and easy to create domain specific knowledge graphs (DSKG) automatically. Apart from defining DSKGs, two use-cases are presented that show how third-party tools may utilise DSKGs: (1) improved exam generation with EAs.LiT and (2) an assessment item and educational material recommender. | en |
dc.identifier.isbn | 978-3-88579-710-4 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37021 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | DELFI 2021 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-316 | |
dc.subject | Knowledge Maps | |
dc.subject | Knowledge Graphs | |
dc.subject | Domain Models | |
dc.subject | Educational Software Engineering | |
dc.subject | Automation | |
dc.subject | Semantic Web | |
dc.title | Creation and Utilisation of Domain Specific Knowledge Graphs (DSKG) for E-Learning | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 276 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 271 | |
gi.conference.date | 13.-15. September 2021 | |
gi.conference.location | Online | |
gi.conference.sessiontitle | Lernressourcen |
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