Advanced Information Systems Engineering Workshops

Name: Advanced Information Systems Engineering Workshops | CAiSE 2024 International Workshops, Limassol, Cyprus, June 3-7, 2024, Proceedings
Brand: Springer
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CAiSE 2024 International Workshops, Limassol, Cyprus, June 3-7, 2024, Proceedings

João Paulo A. Almeida Claudio Di Ciccio Christos Kalloniatis(Herausgeber*in)

Springer (Verlag)

Erschienen am 31. Mai 2024

XII, 374 Seiten

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978-3-031-61003-5 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
BC4IS+B4TDS
International Workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS)
Organization
BC4IS Workshop Co-chairs
BC4IS Workshop Program Committee
B4TDS Workshop Co-chairs
B4TDS Workshop Program Committee
Blockchain in E-Learning Platform to Enhance Trustworthy and Sharing of Micro-credentials
1 Introduction
2 Background, Related Work and Contribution
2.1 Micro-credentials
2.2 Blockchain
2.3 Related Work
2.4 Contribution
3 E-Learning Platform and Micro-credentials
4 Consortium Blockchain Within E-Learning Platforms
4.1 Institutions and Candidates Actions
5 Discussion
6 Conclusion
References
A Conceptual Model for Blockchain-Based Trust in Digital Ecosystems (Short Paper)
1 Introduction
2 Related Work
3 Conceptual model
3.1 N7: Running Example
3.2 Ontology of Trust in Digital ecosystems
3.3 The Problems of Third Parties and How Blockchain Can help
3.4 The Need for Capabilities Manifestation For Blockchain
4 Conclusion and Future work
References
High-Performance Confidentiality-Preserving Blockchain via GPU-Accelerated Fully Homomorphic Encryption
1 Introduction
2 Related Work
2.1 Confidentiality-Preserving Blockchains
2.2 GPU-Accelerated Fully Homomorphic Encryption
3 Overview
3.1 System Model
3.2 Threat Model
3.3 Gafe's Workflow Overview
4 Workflow Description
4.1 Client Key Generation
4.2 GPU-Accelerated Transaction Execution
5 Evaluation
5.1 Settings
5.2 End-to-End Performance
6 Conclusion
References
A Blockchain-Based Approach for Model Card Accountability and Regulatory Compliance
1 Introduction
2 Background
2.1 Model Cards
2.2 Tokenization of Model Cards
2.3 Motivating Scenario
3 Proposed Approach: m-LUCE
3.1 Approach Overview
3.2 Modeling State Parameterization for Model Cards
4 Evaluation and Discussion
4.1 Functional Testing
4.2 Discussion
5 Conclusions and Future Work
References
HybridAIMS
2nd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS 2024)
Organization
Workshop Chairs
Program Committee
A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper)
1 Introduction
2 BIM, BMS and EMS and Digital Twins
3 Physics-Based Simulation and Artificial Intelligence
4 From Data to Wisdom, a Paradigm for Digital Twins
4.1 The NEST Demonstrator
4.2 An Implementation of the DIKW for Buildings and Energy Systems
4.3 Analysis of a Specific Application
5 Conclusion and Outlook
References
Integrating Generative Artificial Intelligence into Supply Chain Management Education Using the SCOR Model
1 Introduction
2 Background
3 Case Study: A SCM University Course
3.1 Generative AI Course Companion Requirements and Goals
3.2 Introduction to Vertex AI Search
3.3 Setting up the Vertex AI Search
3.4 Evaluation
3.5 Results
3.6 Enhancement Strategies
4 Implications and Further Research
References
An Explanation User Interface for a Knowledge Graph-Based XAI Approach to Process Analysis
1 Research Background and Objective
2 Basics of Human Interactions for XAI
3 Design Catalog for Explanation User Interfaces
4 Demonstration and Evaluation of an XUI
4.1 Current State of KBXAI-PA
4.2 Designing and Demonstrating of an XUI for KBXAI-PA
4.3 Evaluating the XUI for KBXAI-PA Through Expert Interviews
5 Key Findings, Research Perspectives and Implications
References
Enhancing Research Clarity: Ontology-Based Modeling of Argumentation in RPML
1 Introduction
2 Literature Review
2.1 Identification of a Research-Worthy Problem
2.2 Conceptual Modeling for Visualization of Research Problems
3 Methodology
4 An Ontological Metamodel for Research
5 Application of the Modelling Language
6 Conclusion
References
Student Performance Prediction Model Based on Course Description and Student Similarity
1 Introduction
2 Related Work
3 Methodology
4 Data Set from Student Enrolment Process
5 Design and Development of the Prototypes
5.1 Course Description Similarity
5.2 Course Performance Similarity
5.3 Performance Prediction
6 Evaluation
7 Conclusion
References
Towards Explainable Public Sector AI: An Exploration of Neuro-Symbolic AI and Enterprise Modeling (Short Paper)
1 Introduction
2 XAI: The Imperative for Explainability in the Public Sector
3 Neuro-Symbolic AI (NSAI) for Enhanced Explainability
4 Enterprise Modeling (EM): Discovering Rules for the Symbolic AI
5 Integration: Exploring the Synergy of XAI, NSAI, and EM
6 Conclusion and Future Work
References
A Survey to Evaluate the Completeness and Correctness of a Morphological Box for AI Solutions
1 Introduction
2 Theoretical Background
2.1 Morphological Box for AI Solutions
2.2 Taxonomy Development
3 Research and Survey Design
4 Analysis of the Survey Results
4.1 Participants
4.2 Statistical Evaluation
4.3 Feature Analysis
4.4 Value Analysis
5 Discussion
5.1 Possible New Features
5.2 Possible New Values
5.3 Possible Reorganization of the Values
6 Summary and Future Research
References
KG4SDSE
Preface: 2nd Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering (KG4SDSE 2024)
Organization
Workshop Chairs
Web Chair
Program Committee
Understanding the Semantic SQL Transducer
1 Introduction
2 The Role of a Semantic SQL Transducer
3 Inside the Semantic SQL Transducer
4 Designing the Semantic SQL Transducer
5 Conclusions
References
Enhancing Complex Linguistic Tasks Resolution Through Fine-Tuning LLMs, RAG and Knowledge Graphs (Short Paper)
1 Introduction
2 Related Work
3 Proposed Pipeline
3.1 Enhancing LLMs with RAG and KGs
3.2 KGs Construction via Prompt Engineering
3.3 Guide Complex Tasks Resolution via Fine-Tuning
4 Conclusions and Future Work
References
Improving the Service Quality in Fitness Industry by Using a Knowledge Graph Based Modeling Toolkit
1 Introduction
2 Storytelling with Modeling Tools
3 Research Problem
3.1 Who
3.2 What
3.3 Why
3.4 How
3.5 Where
4 Conclusions
References
LLMs for Knowledge-Graphs Enhanced Task-Oriented Dialogue Systems: Challenges and Opportunities
1 Introduction
2 Related Work
3 Methodology
3.1 Preliminary Questions for ChatGPT
3.2 Ontology
3.3 Setup Format
3.4 Prompting Techniques and Examples
4 Results and Discussion
4.1 ChatGPT on the Static KGC Task
4.2 ChatGPT on the Temporal KGC Task
4.3 ChatGPT on the KGR Task
5 Conclusion
References
Property Graphs at Scale: A Roadmap and Vision for the Future (Short Paper)
1 Introduction
2 Roadmap to the Future
2.1 Establishing a Declarative Query Language for PGs
2.2 Data Integration
2.3 Scalable Data Processing
3 Conclusions
References
Knowledge Graph for Reusing Research Knowledge on Related Work in Data Analytics
1 Introduction
2 Research Method
3 Analytics Project Ontology
4 Real Estate Analytics Knowledge Graph
5 Using Knowledge Graph Based Web Application
6 Conclusion
References
An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems
1 Introduction
2 Related Work
3 Methodology
3.1 Focus Group Findings
4 The Ontology-Based Meta-modelling Approach for Building Management Systems
4.1 The Ontology Architecture
4.2 The Ontology-Based PID Language
5 Evaluation
6 Findings and Discussion
7 Conclusion
References
EOMAS
20 years of the EOMAS workshop
Organization
Steering Committee
Customizing a Generic Digital Transformation Objectives Model onto a Telecommunication Company
1 Introduction
2 Research Approach and Method
3 Results
3.1 Preliminary Interview Round: Domain Knowledge Collection
3.2 Instantiated DT Strategic Objectives Representation
3.3 Post Interview Round: Evaluation and Validation of the Instantiated DT Objectives Representation
4 Discussion
5 Conclusion
References
Analyzing Customer Sentiments: A Comparative Evaluation of Large Language Models for Enhanced Business Intelligence
1 Introduction
2 Related Work
2.1 Customer Sentiment Analysis
2.2 Methods for Sentiment Analysis
2.3 Using Large Language Models for Sentiment Analysis
3 Methodology
3.1 Research Question Statement
3.2 Selection of Large Language Models
3.3 Dataset Preparation
3.4 Exploratory Phase
3.5 Focused Experiments
3.6 Observations Analysis
4 Observation Analysis
5 Discussion
6 Conclusions and Future Work
References
Conceptual Data Normalisation from the Practical View of Using Graph Databases
1 Introduction
2 Motivation
3 Attempts to Overcome the Limitations of Relational Databases
4 Object Class Normalisation - Ambler's Approach
5 Frisendal's Approach to the Graph Normalisation
6 Our Approach to the Graph Database Normalisation
7 Conclusion
References
Deriving Object Oriented Normalisation from Conceptual Normalisation
1 Introduction
2 Motivation and Problem Statement
3 Presumptions and Our Approach
3.1 Conceptual Normal Forms (CNFs)
4 Object Normal Forms (ONFs)
4.1 Zero Object Normal Form (0ONF)
4.2 First Object Normal Form (1ONF)
4.3 Second Object Normal Form (2ONF)
4.4 Third Object Normal Form (3ONF)
5 Results
6 Conclusion and Future Works
References
BPMN for Displaying the Progression of Musical Harmony and Chords - Case Study
1 Introduction
1.1 Origin of Music
1.2 Music Research History
1.3 Current Notation
1.4 Types of Notes According to Their Length
1.5 Chords Progression
1.6 Representation of Hamonic Relations Using the Model of Applied Informatics
1.7 Summary of the Introduction
2 Material and Methods
2.1 Research Question
2.2 Chord Types and Their Model
2.3 BPMN for Music Progression Expression
2.4 Results
3 Discussion
4 Conclusion
References
Process-Specific Extensions for Enhanced Recommender Systems in Business Process Management
1 Introduction
2 Background
2.1 Business Process Management
2.2 Process Perspectives
2.3 Recommender Systems
3 Related Work
4 Running Example
5 Requirements Analysis
6 Extension of Framework
6.1 Extending the Input Data
6.2 Framework Enhancement
7 Demonstration and Evaluation
8 Conclusion and Future Work
References
Comparing Process Models Beyond Structural Equivalence
1 Introduction
2 Basic Terminology
2.1 Business Process Management and Process Models
2.2 Process Perspectives
2.3 Language-Independent Approach: Clarifying Foundations
2.4 Equality of Process Models
3 Related Work
4 Model Comparison
4.1 Comparison of the Organizational Perspective
4.2 Comparison of the Operational Perspective
4.3 Comparison of Data and Dataflow Perspective
5 Methodology and Practical Application
5.1 Methodology
5.2 Practical Example
6 Conclusion and Future Work
References
A Meta-Design Method for Modeling Customer Value
1 Introduction
2 Methodology
3 Meta-Design Modeling Method
3.1 Theoretical Knowledge Base
3.2 Design
4 Case Study Demonstration
4.1 Organizational Context
4.2 Meta-Design Modeling Method
5 Evaluation
5.1 Meta-Design Modeling Method
5.2 Customer Value Models
6 Related Work
7 Discussion and Conclusion
References
DigPro
1st Workshop on Digital Transformation with Business Process Mining (DigPro)
Organization
Program Chairs
Program Committee
Empirical Insights into Context-Aware Process Predictions: Model Selection and Context Integration
1 Introduction
2 Research Background
2.1 Recent Trends in Neural Network Designs for Process Prediction
2.2 Usage of Static and Dynamic Process Context Information
3 Research Method
4 Design and Development
4.1 Recurrent Neural Networks
4.2 Input Encoding
4.3 Models Without Context and Sequentialized Dynamic Context
4.4 Models with Static and Dynamic Context
5 Experimental Evaluation
5.1 Preprocessing and Splitting
5.2 Performance Metrics
5.3 Evaluation Results
5.4 Insights and Contributions
6 Conclusion and Future Research
References
Online Next Activity Prediction Under Concept Drifts
1 Introduction
2 Preliminaries and Literature Review
3 Methods
3.1 Developing the Dynamic Framework
3.2 Drift Recovery Formula and Setting of Algorithm Parameters
4 Experimental Evaluation
4.1 Parameter Settings, System Specifications and Baselines
4.2 Results and Discussion
5 Conclusions and Future Directions
References
Overstock Problems in a Purchase-to-Pay Process: An Object-Centric Process Mining Case Study
1 Introduction
2 Related Work
3 Preparation
3.1 Definition of Objectives
3.2 Conceptualization
4 Extraction and Transformation of Source Data
5 Analysis
6 Improvement
7 Conclusion
References
Exploring Object Centric Process Mining with MIMIC IV: Unlocking Insights in Healthcare
1 Introduction
2 Related Work
3 Event Log Extraction from MIMIC IV
3.1 The Dataset
3.2 Event Log Generation
3.3 Process Discovery and Conformance Checking
4 Unlocking Patient Journeys with Object-Centric Process Mining in MIMIC IV
4.1 Selection of Object from Traditional Event Log of MIMIC IV Datasets
4.2 Finding the Relation Between the Objects
4.3 Visualization of Divergence and Convergence
4.4 Conversion from XES to OCEL
4.5 Discovery with Petri Net
4.6 Analysis
5 Conclusion and Future Work
References
Author Index

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