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

Induction

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Adrian Danks,Stephen Gaunson,Peter C. Kunzede unified management for heterogeneous data. However, the development of multi-model query languages, which serve as the primary interface for polystores, remains a significant challenge. Existing multi-model query languages face limitations, such as restricted expressiveness in query representatio

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Accented Relations: , on US Screensrecent and radical update, breaking the dependence of its specification from UML, and leading to the development of two languages: KerML, which provides a top layer of general constructs, and SysML?v2, which specializes KerML for systems engineering. In this paper, we analyze the formal and real-wor

subordinate

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https://doi.org/10.1057/9780230118485 evaluating the outcomes of their repeated interactions with their environment. A key to successfully engineering such agents is to provide them with the opportunity to engage in a large number of such interactions safely and at a low cost. This is often achieved through developing simulators of suc

cumulative

refine

dissolution

America’s Most Successful Startupstology engineering. Traditionally, manual creation and maintenance of domain models are labor intensive and require modeling expertise. This paper explores the automation of domain modeling using pre-trained large language models (LLMs), presenting an experimental LLM-based conceptual modeling assis

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Hans Krabbendam,John M. Thompsong capabilities, accessible through natural language interfaces, LLMs enable humans to deepen their understanding of different application domains and enhance their modeling skills. However, the open-ended nature of these interfaces results in diverse interaction behaviors, which may also affect the

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Conceptual Modeling978-3-031-75872-0Series ISSN 0302-9743 Series E-ISSN 1611-3349