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Conceptual Modeling

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

Medium: Buch
ISBN: 978-3-031-75871-3
Verlag: Springer
Erscheinungstermin: 27.10.2024
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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.

Produkteigenschaften

  • Artikelnummer: 9783031758713
  • Medium: Buch
  • ISBN: 978-3-031-75871-3
  • Verlag: Springer
  • Erscheinungstermin: 27.10.2024
  • Sprache(n): Englisch
  • Auflage: 2024
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert, Paperback
  • Gewicht: 715 g
  • Seiten: 438
  • Format (B x H x T): 155 x 235 x 26 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

.- 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.