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Titlebook: Conceptual Modeling - ER 2013; 32th International C Wilfred Ng,Veda C. Storey,Juan C. Trujillo Conference proceedings 2013 Springer-Verlag

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Deciding Data Object Relevance for Business Process Model Abstractionaspects ignoring data objects. Recently, data objects have been included in process model abstraction techniques. Thereby, the question arises which data objects are relevant for a specific abstraction level of a process model. To date, data object relevance is decided by control flow. But for data
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Matching Business Process Models Using Positional Passage-Based Language Modelsication of correspondences between activities, which is supported by matching techniques that cope with textual heterogeneity and differences in model granularity. In this paper, we present a matching technique that is tailored towards models featuring textual descriptions of activities. We exploit
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Towards an Empirically Grounded Conceptual Model for Business Process Complianceliance management gained momentum in academia and practice in recent years. Information systems (IS) researchers focus on methods providing automated support for managing diverse compliance requirements. Thereby, compliance is approached from a rather technical perspective. Little effort has been de
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Improving Business Process Intelligence with Object State Transition Eventsinto process executions so that process monitoring and analysis can be performed resulting, for instance, in prediction of upcoming process steps or the analysis of the runtime of single steps. While event capturing is trivial when a process engine with integrated logging capabilities is used, manua
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A Conceptual Model of Intended Learning Outcomes Supporting Curriculum Developmentdesigners in their systematic design and development of curriculum. In this paper, an ILO diagram – a novel conceptual model for curriculum development, is proposed. The modelling of ILOs and its components are introduced as well as the relationships and constraints of the ILO diagram are proposed.
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Minimizing Human Effort in Reconciling Match Networksegration. Various commercial and academic tools have been developed to support this task. These tools provide impressive results on some datasets. However, as the matching is inherently uncertain, the developed heuristic techniques give rise to results that are not completely correct. In practice, p
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Big Data—Conceptual Modeling to the Rescuefor many big-data applications by handling volume and velocity with automation, by inter-conceptual-model transformations for mitigating variety, and by conceptualized constraint checking for increasing veracity.
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