Advances in Conceptual Modeling: ER 2025 Workshops, FCM, CMLS, LLM4Modeling, OntoCom, and QUAMES, Poitiers, France, October 20–23, 2025, Proceedings.

Author:   Claudenir M. Fonseca ,  Anna Bernasconi ,  Sergio de Cesare ,  Ladjel Bellatreche
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032086198


Pages:   225
Publication Date:   15 October 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Advances in Conceptual Modeling: ER 2025 Workshops, FCM, CMLS, LLM4Modeling, OntoCom, and QUAMES, Poitiers, France, October 20–23, 2025, Proceedings.


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Author:   Claudenir M. Fonseca ,  Anna Bernasconi ,  Sergio de Cesare ,  Ladjel Bellatreche
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032086198


ISBN 10:   3032086191
Pages:   225
Publication Date:   15 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- FCM. .- Logical Foundations of Conceptual Modelling for Relational and SQL Databases - an introduction. .- Disentangling the schema turn: Restoring the information base to conceptual modelling. .- Representing Autopoiesis and Scanning the Environment in Fractal Enterprise Model. .- Towards a fundamental theory of modeling discrete systems. .- Towards Specifying ”Model”. .- CMLS. .- A conceptual model for discovering implicit temporal knowledge in clinical data. .- LLM4Modeling. .- Vibe Modeling: Challenges and Opportunities. .- Model Deepening with Large Language Models: Insights from Exploratory Studies with ChatGPT. .- From ConOps to an Operational Domain Model: Harnessing LLMs for Conceptual Model Design. .- Towards diagram-based data model generation with LLMs. .- OntoCom. .- Unpacking Trust: An Ontological Framework for Information Trustworthiness in Decision-Making. .- QUAMES. .- Towards Model-Driven Testing for Assuring the Quality of Large Language Models. .- Prompt-Guided Evaluation of GPT-4o, Gemini and DeepSeek on UML-to-Java Code Generation.

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