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Advanced Information Systems Engineering

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Cover of 'Advanced Information Systems Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Comparing User Perspectives in a Virtual Reality Cultural Heritage Environment
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    Chapter 2 Can Information System Engineering Make Cyber-Human Systems Smarter?
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    Chapter 3 Perceptual Risk-Aware Adaptive Responsibility Sensitive Safety for Autonomous Driving
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    Chapter 4 Configuration Optimization with Limited Functional Impact
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    Chapter 5 Modeling Context-Aware Events and Responses in an IoT Environment
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    Chapter 6 Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems
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    Chapter 7 Simulating and Analyzing Crowdsourcing Impacts in Flood Management: A Geo-spatial Agent-Based Approach
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    Chapter 8 A Data-Centric Approach for Reducing Carbon Emissions in Deep Learning
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    Chapter 9 Unsupervised Task Recognition from User Interaction Streams
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    Chapter 10 Revealing the Importance of Setting Parameters in Declarative Discovery Algorithms: An Evolutionary-Based Methodology
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    Chapter 11 Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes
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    Chapter 12 Extracting Event Data from Document-Driven Enterprise Systems
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    Chapter 13 Event Data-Driven Feasibility Checking of Process Schedules
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    Chapter 14 Comparing Trace Similarity Metrics Across Logs and Evaluation Measures
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    Chapter 15 Where Are the Readings Behind Your Concept Maps? Annotation-driven Concept Mapping
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    Chapter 16 Ontological Representation of FAIR Principles: A Blueprint for FAIRer Data Sources
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    Chapter 17 Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks
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    Chapter 18 DOML: A New Modelling Approach to Infrastructure-as-Code
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    Chapter 19 Task Completeness Assessments in the Evolution of Domain-Specific Modelling Languages
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    Chapter 20 Lessons Learned in Model-Based Reverse Engineering of Large Legacy Systems
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    Chapter 21 Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring
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    Chapter 22 Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
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    Chapter 23 Model-Agnostic Event Log Augmentation for Predictive Process Monitoring
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    Chapter 24 Detecting Deviations Between External and Internal Regulatory Requirements for Improved Process Compliance Assessment
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    Chapter 25 Verification of Quantitative Temporal Compliance Requirements in Process Descriptions Over Event Logs
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    Chapter 26 C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
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    Chapter 27 Supporting Provenance and Data Awareness in Exploratory Process Mining
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    Chapter 28 Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques
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    Chapter 29 Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking
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    Chapter 30 PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization
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    Chapter 31 A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture
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    Chapter 32 CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics
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    Chapter 33 Counterfactuals and Ways to Build Them: Evaluating Approaches in Predictive Process Monitoring
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    Chapter 34 Identifying and Removing the Ghosts of Reproducibility in Service Recommendation Research
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    Chapter 35 A Resource-Constrained Multi-level SLA Customization Approach Based on QoE Analysis of Large-Scale Customers
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    Chapter 36 Request Relaxation Based-on Provider Constraints for a Capability-Based NaaS Services Discovery
Attention for Chapter 17: Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks
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Chapter title
Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks
Chapter number 17
Book title
Advanced Information Systems Engineering
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34560-9_17
Book ISBNs
978-3-03-134559-3, 978-3-03-134560-9
Authors

Ali, Syed Juned, Guizzardi, Giancarlo, Bork, Dominik

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%