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dc.contributor0000-0003-4193-8209
dc.contributor0000-0003-2575-2893
dc.contributor.authorMeissner, Roy
dc.contributor.authorThor, Andreas
dc.contributor.editorKienle, Andrea
dc.contributor.editorHarrer, Andreas
dc.contributor.editorHaake, Joerg M.
dc.contributor.editorLingnau, Andreas
dc.date.accessioned2021-08-25T08:21:51Z
dc.date.available2021-08-25T08:21:51Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-710-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37021
dc.description.abstractEducational 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 Unfortunately, such domain models require high manual effort to be created, are quickly outdated and are thus rarely used at all.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.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDELFI 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-316
dc.subjectKnowledge Maps
dc.subjectKnowledge Graphs
dc.subjectDomain Models
dc.subjectEducational Software Engineering
dc.subjectAutomation
dc.subjectSemantic Web
dc.titleCreation and Utilisation of Domain Specific Knowledge Graphs (DSKG) for E-Learningen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages271-276
mci.conference.sessiontitleLernressourcen
mci.conference.locationOnline
mci.conference.date13.-15. September 2021


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