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Conceptual Modeling

43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings

  • Conference proceedings
  • © 2025

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Editors:
  1. Wolfgang Maass

    1. Saarland University and German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

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  2. Hyoil Han

    1. Illinois State University, Normal, USA

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  3. Hasan Yasar

    1. Software Engineering Institute – Carnegie Mellon University, Pittsburgh, USA

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  4. Nick Multari

    1. Pacific Northwest National Laboratory, Richland, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15238)

Included in the following conference series:

Conference proceedings info: ER 2024.

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About this book

This book constitutes the proceedings of the 43rd International Conference on Conceptual Modeling, ER 2024, which took place in Pittsburgh, PA, USA, during October 28-31, 2024. 

The 22 full papers presented in this volume were carefully reviewed and selected from 113 submissions. 

They are grouped into the following topics: process modeling; advanced modeling languages; ontological modeling; domain and goal modeling; language models and conceptual modeling; applications of conceptual modeling.

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Keywords

Table of contents (22 papers)

  1. Front Matter

    Pages i-xxxv
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  2. Process Modeling

    1. Front Matter

      Pages 1-1
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    2. Enhancing BERT Performance: Multi-teacher Adversarial Distillation with Clean and Robust Guidance

      • Xunjin Wu, Jingfei Chang, Wen Cheng, Yunxiang Wu, Yong Li, Lingfang Zeng
      Pages 3-17

    3. On the Task-Specific Effects of Fragmentation in Modular Process Models

      • Amine Abbad-Andaloussi, Clemens Schreiber, Barbara Weber
      Pages 18-37

    4. A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models

      • Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski
      Pages 38-55

    5. Agent System Event Data: Concepts, Dimensions, Applications

      • Qingtan Shen, Artem Polyvyanyy, Nir Lipovetzky, Timotheus Kampik
      Pages 56-72

  3. Advanced Modeling Languages

    1. Front Matter

      Pages 73-73
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    2. Multi-faceted Evaluation of Modeling Languages for Augmented Reality Applications The Case of ARWFML

      • Fabian Muff, Hans-Georg Fill
      Pages 75-93

    3. Application of the Tree-of-Thoughts Framework to LLM-Enabled Domain Modeling

      • Jonathan Silva, Qin Ma, Jordi Cabot, Pierre Kelsen, Henderik A. Proper
      Pages 94-111

    4. ECQL: Towards Succinct and Extensible Modeling of Multi-model Query Results

      • Gengyuan Shi, Chaokun Wang, Yabin Liu
      Pages 112-130

  4. Ontological Modeling

    1. Front Matter

      Pages 131-131
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    2. An Analysis of the Semantic Foundation of KerML and SysML v2

      • João Paulo A. Almeida, Luís Ferreira Pires, Giancarlo Guizzardi, Gerd Wagner
      Pages 133-151

    3. Portions of Matter and Their Existential Events: An Ontology-Based Conceptual Model

      • Lucas Valadares Vieira, Fabricio Henrique Rodrigues, Mara Abel
      Pages 152-169

    4. Model-Driven Design and Generation of Training Simulators for Reinforcement Learning

      • Sotirios Liaskos, Shakil M. Khan, John Mylopoulos, Reza Golipour
      Pages 170-191

  5. Domain and Goal Modeling

    1. Front Matter

      Pages 193-193
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    2. Generating Secure Workflow Designs from Requirements Goal Models Using Patterns

      • Sotirios Liaskos, Ibrahim Jaouhar, Syed Muhammad Danish, Shakil M. Khan
      Pages 195-214

    3. Modeling and Reasoning About Explanation Requirements Using Goal Models

      • Sotirios Liaskos, John Mylopoulos, Alex Borgida, Shakil M. Khan
      Pages 215-234

    4. Enhancing Domain Modeling with Pre-trained Large Language Models: An Automated Assistant for Domain Modelers

      • Dominik Prokop, Štěpán Stenchlák, Petr Škoda, Jakub Klímek, Martin Nečaský
      Pages 235-253

  6. Language Models and Conceptual Modeling

    1. Front Matter

      Pages 255-255
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    2. How are LLMs Used for Conceptual Modeling? An Exploratory Study on Interaction Behavior and User Perception

      • Syed Juned Ali, Iris Reinhartz-Berger, Dominik Bork
      Pages 257-275
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Other volumes

  1. Advances in Conceptual Modeling

  2. Conceptual Modeling

Editors and Affiliations

  • Saarland University and German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

    Wolfgang Maass

  • Illinois State University, Normal, USA

    Hyoil Han

  • Software Engineering Institute – Carnegie Mellon University, Pittsburgh, USA

    Hasan Yasar

  • Pacific Northwest National Laboratory, Richland, USA

    Nick Multari

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