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dc.contributor.authorBork, Dominik
dc.contributor.authorFettke, Peter
dc.contributor.authorReimer, Ulrich
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:01:00Z
dc.date.available2022-06-30T13:01:00Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38782
dc.description.abstractThe workshop focuses on topics at the intersection of the fields of conceptual modeling and AI and explores the value conceptual modeling brings to AI, and, vice versa, the value that AI can bring to conceptual modeling. This covers a wide range of issues such as how to combine learned and manually engineered models, data-driven modelling support, automatic incremental model adaptation, and how to achieve the explainability of learned models e.g. by utilizing conceptual models as background knowledge.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectConceptual Modelling
dc.subjectAI
dc.subjectModel Learning
dc.subjectExplainability
dc.titleWorkshop “Modelle und KI”en
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages44685
mci.conference.sessiontitleMoKI - Modelle und KI
mci.conference.locationHamburg
mci.conference.date27.6. - 1.7.2022
dc.identifier.doi10.18420/modellierung2022ws-002


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