05142nam 22007455 450 991098306290332120251225183652.03-031-75872-210.1007/978-3-031-75872-0(MiAaPQ)EBC31741954(Au-PeEL)EBL31741954(CKB)36410320200041(DE-He213)978-3-031-75872-0(EXLCZ)993641032020004120241026d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierConceptual Modeling 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings /edited by Wolfgang Maass, Hyoil Han, Hasan Yasar, Nick Multari1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (457 pages)Lecture Notes in Computer Science,1611-3349 ;152383-031-75871-4 Includes bibliographical references and index. -- 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.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.Lecture Notes in Computer Science,1611-3349 ;15238Software engineeringApplication softwareData structures (Computer science)Information theoryArtificial intelligenceComputer networksInformation technologyManagementSoftware EngineeringComputer and Information Systems ApplicationsData Structures and Information TheoryArtificial IntelligenceComputer Communication NetworksComputer Application in Administrative Data ProcessingSoftware engineering.Application software.Data structures (Computer science)Information theory.Artificial intelligence.Computer networks.Information technologyManagement.Software Engineering.Computer and Information Systems Applications.Data Structures and Information Theory.Artificial Intelligence.Computer Communication Networks.Computer Application in Administrative Data Processing.192Maass WolfgangMiAaPQMiAaPQMiAaPQBOOK9910983062903321Conceptual modeling1490871UNINA