Conceptual Modeling
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Conceptual Modeling: 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings(15238 Lecture Notes in Computer Science)

Conceptual Modeling: 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings(15238 Lecture Notes in Computer Science)


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About the 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.

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.


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Product Details
  • ISBN-13: 9783031758713
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 438
  • Returnable: Y
  • Sub Title: 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings
  • ISBN-10: 3031758714
  • Publisher Date: 27 Oct 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: 15238 Lecture Notes in Computer Science
  • Width: 155 mm


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Conceptual Modeling: 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings(15238 Lecture Notes in Computer Science)
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