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Conceptual Modeling : 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings / edited by Wolfgang Maass, Hyoil Han, Hasan Yasar, Nick Multari.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 15238
- Language:
- English
- Subjects (All):
- Software engineering.
- Application software.
- Data structures (Computer science).
- Information theory.
- Artificial intelligence.
- Computer networks.
- Information technology--Management.
- Information technology.
- Software Engineering.
- Computer and Information Systems Applications.
- Data Structures and Information Theory.
- Artificial Intelligence.
- Computer Communication Networks.
- Computer Application in Administrative Data Processing.
- Local Subjects:
- Software Engineering.
- Computer and Information Systems Applications.
- Data Structures and Information Theory.
- Artificial Intelligence.
- Computer Communication Networks.
- Computer Application in Administrative Data Processing.
- Physical Description:
- 1 online resource (457 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- 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.
- 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.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 3-031-75872-2
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