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Advances in Conceptual Modeling : ER 2024 Workshops, AISA, CMLS, EmpER, QUAMES, JUSMOD, LLM4Modeling, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings / edited by Motoshi Saeki, Leah Wong, João Araujo, Clara Ayora, Anna Bernasconi, Matteo Buffa, Silvana Castano, Peter Fettke, Hans-Georg Fill, Alberto García S., Miguel Goulão, Cristine Griffo, Jin-Taek Jung, Julius Köpke, Beatriz Marín, Stefano Montanelli, Edelweis Rohrer, José F. Reyes Román.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Saeki, Motoshi.
Contributor:
Wong, Leah.
Araújo, João.
Ayora, Clara.
Bernasconi, Anna.
Buffa, Matteo.
Castano, Silvana.
Fettke, Peter.
Fill, Hans-Georg.
García S., Alberto.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14932
Language:
English
Subjects (All):
Software engineering.
Application software.
Data structures (Computer science).
Information theory.
Artificial intelligence.
Computer networks.
Information technology--Management.
Information technology.
Software Engineering.
Computer and Information Systems Applications.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Computer Application in Administrative Data Processing.
Local Subjects:
Software Engineering.
Computer and Information Systems Applications.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Computer Application in Administrative Data Processing.
Physical Description:
1 online resource (391 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
This book constitutes the refereed proceedings of the workshops held at 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 and 1 short paper included in this book were carefully reviewed and selected from 52 submissions. They stem from the following workshops: AISA’2024 - The First International Workshop on AI Services and Applications CMLS2024 - The 5th International Workshop on Conceptual Modeling for Life Sciences EmpER'24 -7th International Workshop on Empirical Methods in Conceptual Modeling QUAMES 2024 - 5th International Workshop on Quality and Measurement of Model-Driven Software Development JUSMOD24 - 3rd International Workshop on Digital JUStice, Digital Law and Conceptual MODeling LLM4Modeling - 2nd Workshop on Modeling in the Age of Large Language Models.
Contents:
AISA
The First International Workshop on AI Services and Applications
Empirical case study of AI Service and Application for people with disabilities
A Methodological Framework for Designing Human Centered Artificial Intelligence Services
Beyond One Fits All A Case Study Approach to AI System Design Methods
GRASPER Leveraging Knowledge Graphs for Predictive Supply Chain Analytics
An MLOps Framework to Data Driven Modelling of Digital Twins with an Application to Virtual Test Rigs
Empirical Study on the Use of Artificial General Intelligence Healthcare in the Elderly
Effects of Perceived Ease of Use and Perceived Usefulness of Technology Acceptance Model on Intention to Continue Using Generative AI Focusing on the Mediating Effect of Satisfaction and Moderating Effect of Innovation Resistance
Conceptual Modeling for Public AI Systems
Self-Explanatory Retrieval Augmented Generation for SDG Evidence Identification
CMLS
International Workshop on Conceptual Modeling for Life Sciences CMLS
On the Expressiveness of Petri Nets for Modeling Biological Processes the Case for mRNA Translation and Protein Synthesis
Enhancing Vaxign DL for Vaccine Candidate Prediction with added ESM Generated Features
Conceptual Modeling for Polygenic Risk Score Research Improving Domain Understanding and Clinical Utility
Integrative Ontology of Bipolar Disorder OBD Advancing Bipolar Disorder Research through an Interoperable Ontological Framework
EmpER
7th International Workshop on Empirical Methods in Conceptual Modeling EmpER’24
How Does UML Look and Sound Using AI to Interpret UML Diagrams through Multimodal Evidence
Can Large Language Models Learn Conceptual Modeling by Looking at Slide Decks and Pass Graduate Examinations An Empirical Study
Evaluating a Framework of Conceptual Modelling Research
Extending Goal Models with Execution Orders An Investigation of the Impact on Comprehensibility
QUAMES
5th International Workshop on Quality and Measurement of Model-Driven Software Development QUAMES 2024
Towards leveraging gamified code testing for effective model validation
JUSMOD
3rd International Workshop on Digital JUStice digital law and conceptual MODeling JUSMOD24
Resignifying Compliance between Ontologies and Epistemologies of Law
Modelling Legal Enforcement with UFOL a Case from Swedish Healthcare
The eu FAIRnews A Preliminary Exploration of Bridging Disinformation and Digital Justice through FAIR Data Practices in Online News Sources
Safety Assurances in Autonomous Vessels
LLM4Modeling
2nd Workshop ”Modeling in the Age of Large Language Models” LLM4Modeling
An LLM Assistant for Characterizing Conceptual Modeling Research Contributions
AI Assisted Analytics An Automated Approach to Data Visualization
Combining Natural Language Generation and Graph Algorithms to Explain Causal Maps through Meaningful Paragraphs.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031755996
3031755995
OCLC:
1465267879

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