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The MobIS-Challenge 2019

dc.contributor.authorBaier, Stephan
dc.contributor.authorDunzer, Sebastian
dc.contributor.authorFettke,
dc.contributor.authorHouy, Constantin
dc.contributor.authorMatzner, Martin
dc.contributor.authorPfeiffer, Peter
dc.contributor.authorRehse, Jana-Rebecca
dc.contributor.authorScheid, Martin
dc.contributor.authorStephan, Sebastian
dc.contributor.authorStierle, Matthias
dc.contributor.authorWillems, Brian
dc.date.accessioned2023-05-11T05:44:28Z
dc.date.available2023-05-11T05:44:28Z
dc.date.issued2020
dc.description.abstractInformation systems (IS) can significantly support the organization of business processes. However, the proceeding digitalization of processes can also lead to an increasing organizational complexity and the need to more intensely investigate the adherence to external or internal compliance rules. Process-related data from IS and underlying process models can, however, also contribute to an effective compliance checking. This paper summarizes the motivation, the setup, the data set and the results of the 2019 MobIS-Challenge which was conducted as a workshop at WI 2019 in Siegen, Germany. Results submitted to the challenge are presented in detail and directions for future work are discussed.en
dc.identifier.doi10.18417/emisa.15.5
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/41485
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 5
dc.subjectGRC
dc.subjectGovernance
dc.subjectRisk and Compliance
dc.subjectBPM
dc.subjectBusiness Process Management
dc.subjectProcess Mining
dc.subjectData Set
dc.subjectDCR
dc.subjectDeclarative
dc.subjectDynamic Condition Response Graph
dc.titleThe MobIS-Challenge 2019en
dc.typeText/Journal Article
gi.citation.endPage25
gi.citation.publisherPlaceBerlin
gi.citation.startPage1

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