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Integrating Declarative and Imperative Process Modeling Paradigms in the Age of Generative AI

dc.contributor.authorKampik, Timotheus
dc.contributor.authorBerg, Gregor
dc.contributor.authorEickhoff, David
dc.contributor.editorGiese, Holger
dc.contributor.editorRosenthal
dc.contributor.editorKristina
dc.date.accessioned2024-03-12T05:30:27Z
dc.date.available2024-03-12T05:30:27Z
dc.date.issued2024
dc.description.abstractThis brief paper summarizes a talk introducing and discussing the notion of process atoms, small facts or queries, each describing an organizationally relevant property or constraint of a business process that cannot be further split without losing its business meaning. An example of a process atom is: “only if an order with a purchase amount greater than 10,000€ is requested, management approval has to take place afterwards” (more abstractly: “only if A then eventually B”). As process atoms are executable as queries on data and allow for dynamic contextualization across process and organizational scopes, they complement and augment traditional process models, such as BPMN diagrams, particularly in the age of data-driven process analysis and generative AI-created process content.en
dc.identifier.doi10.18420/modellierung2024-ws-005
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43779
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2024 Satellite Events
dc.subjectModeling Paradigms
dc.subjectProcess Modeling
dc.subjectGenerative AI
dc.titleIntegrating Declarative and Imperative Process Modeling Paradigms in the Age of Generative AIen
dc.typeText/Workshop Paper
gi.conference.date12. - 15. März
gi.conference.locationPotsdam
gi.conference.sessiontitleLLM4Modeling

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