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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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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
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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
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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
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