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

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (457 pages)
• Disciplina: 192
• Soggetto topico: 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
• Persona (resp. second.): MaassWolfgang
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Conceptual modeling
• ISBN: 3-031-75872-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983062903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15238