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241105 ||| eng |
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|a 9783031758720
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|a Maass, Wolfgang
|e [editor]
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|a Conceptual Modeling
|h Elektronische Ressource
|b 43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings
|c edited by Wolfgang Maass, Hyoil Han, Hasan Yasar, Nick Multari
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|a 1st ed. 2025
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|a Cham
|b Springer Nature Switzerland
|c 2025, 2025
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|a XXXV, 438 p. 119 illus., 91 illus. in color
|b online resource
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|a 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. --
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|a Ontological Foundations of Resilience. -- Conceptual modelling method for digital twins
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|a -- 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. --
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|a Software engineering
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|a Computer and Information Systems Applications
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|a Application software
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|a Artificial intelligence
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|a Data structures (Computer science)
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|a Information theory
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|a Information technology / Management
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|a Computer networks
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|a Data Structures and Information Theory
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|a Computer Application in Administrative Data Processing
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|a Computer Communication Networks
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|a Artificial Intelligence
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|a Software Engineering
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|a Han, Hyoil
|e [editor]
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|a Yasar, Hasan
|e [editor]
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|a Multari, Nick
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Computer Science
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|a 10.1007/978-3-031-75872-0
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|u https://doi.org/10.1007/978-3-031-75872-0?nosfx=y
|x Verlag
|3 Volltext
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|a 005.1
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|a 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
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