Titlebook: Conceptual Modeling; 43rd International C Wolfgang Maass,Hyoil Han,Nick Multari Conference proceedings 2025 The Editor(s) (if applicable) a

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https://doi.org/10.1007/978-3-031-75872-0Conceptual modeling; Life Science; Digital Law; Empirical Studies; Model-Driven software Development; Qua

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978-3-031-75871-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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A Universal Prompting Strategy for?Extracting Process Model Information from?Natural Language Text Uy, we show that LLMs are able to outperform state-of-the-art machine learning approaches with absolute performance improvements of up to 8% . score across three different datasets. We evaluate our prompting strategy on eight different LLMs, showing it is universally applicable, while also analyzing

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Agent System Event Data: Concepts, Dimensions, Applicationsits dimensional data modeling aspects, and argue that event data, in general, benefits from dimensional representation. We review existing event data types and discuss the complementary nature of existing models and ASED. Finally, we validate ASED by demonstrating its ability to express existing bus

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ECQL: Towards Succinct and?Extensible Modeling of?Multi-model Query Resultsxpression interfaces based on these abstractions. The expressiveness of ECQL lies in its capability to support both single-model and cross-model query operations. Comparative evaluations against existing multi-model query languages on polystore benchmarks underscore the succinctness of ECQL. Finally

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Portions of?Matter and?Their Existential Events: An Ontology-Based Conceptual Modelnected; (ii) ., in which a portion of matter is terminated when a collection of granules becomes scattered; (iii) ., in which a portion of matter of one kind is created and a portion of matter of another kind is terminated. Lastly, we present an application example that uses the condensation of a po

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Generating Secure Workflow Designs from?Requirements Goal Models Using Patternsmbined with reusable domain-agnostic workflow patterns which model established ways for securely performing common business tasks. The combined models are compiled into a formal specification, whereby automated reasoning is applied for generating domain-appropriate workflows that satisfy the securit