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

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 int...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Maass, Wolfgang (Засварлагч), Han, Hyoil (Засварлагч), Yasar, Hasan (Засварлагч), Multari, Nick (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Хэвлэл:1st ed. 2025.
Цуврал:Lecture Notes in Computer Science, 15238
Нөхцлүүд:
Software engineering.
Application software.
Data structures (Computer science).
Information theory.
Artificial intelligence.
Computer networks .
Information technology > Management.
Software Engineering.
Computer and Information Systems Applications.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Computer Application in Administrative Data Processing.
Онлайн хандалт:https://doi.org/10.1007/978-3-031-75872-0
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • -- 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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