Conceptual Modeling: 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28-31, 2024, Proceedings

by Wolfgang Maass (Editor), Hyoil Han (Editor), Hasan Yasar (Editor), Nick Multari (Editor)

Overview

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.

Product Details

ISBN-13:	9783031758713
Publisher:	Springer Nature Switzerland
Publication date:	10/27/2024
Series:	Lecture Notes in Computer Science , #15238
Edition description:	2024
Pages:	438
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

.- Process Modeling.

.- Enhancing BERT Performance: Multi-Teacher Adversarial Distillation with Clean and Robust Guidance.

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

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

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

.- Advanced Modeling Languages.

.- Multi-Faceted Evaluation of Modeling Languages for Augmented Reality Applications - The Case of ARWFML.

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

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

.- Ontological Modeling.

.- An Analysis of the Semantic Foundation of KerML and SysML.

.- Portions of Matter and their Existential Events: An ontology-based conceptual model.

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

.- Domain and Goal Modeling.

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

.- Modeling and Reasoning about Explanation Requirements using Goal Models.

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

.- Language Models and Conceptual Modeling.

.- How Are LLMs Used for Conceptual Modeling? An Exploratory Study on Interaction Behavior and User Perception.

.- Small, Medium, and Large Language Models for Text-to-SQL.

.- Establishing Traceability between Natural Language Requirements and Software Artifacts by Combining RAG and LLMs.

.- Applications of Conceptual Modeling.

.- GenACT: An Ontology based Temporal Web Data Generator.

.- SAQI: An Ontology based Knowledge Graph Platform for Social Air Quality Index.

.- Conceptual Framework for Designing Hippocratic APIs.

.- The Role-Artifact-Function Framework for Understanding Digital Identity Models.

.- Ontological Foundations of Resilience.

.- Conceptual modelling method for digital twins.