Intelligent Information Systems: CAiSE Forum 2023, Zaragoza, Spain, June 12–16, 2023, Proceedings (Lecture Notes in Business Information Processing, 477)

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2023 which was held in Zaragoza, Spain, in June 2023, as part of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s edition of the conference put a special emphasis on the theme of Cyber-Human Systems. A total of 25 papers was sent for peer review. 12 of these papers were invited from CAiSE and 13 have been directly submitted to the Forum. After a careful review and selection, 12 of the invited and 6 of the newly submitted papers have been accepted for publication. Preface Organization Contents Context-Aware Change Pattern Detection in Event Attributes of Recurring Activities 1 Introduction 2 Related Work 3 Foundations and Motivating Example 4 Approach 4.1 Recurring Activity Detection 4.2 Context Identification and Event Transformation 5 Evaluation 6 Conclusion and Future Work References Towards a UML Profile for Designing Smart IoT Data-Centric Applications 1 Introduction 2 Requirements for Designing Smart IoT Applications 3 Related Work 4 A UML Profile for Smart IoT 5 Evaluation and Conclusion References An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems 1 Introduction 2 Decision Drift: Definition and Analysis 3 End-to-End Runtime Decision Mining, Monitoring, and Decision Drift Detection Approach 4 Evaluation 4.1 Discussion 5 Related Work 6 Conclusion References Towards Designing Energy-Aware Cybersecurity Policies 1 Introduction 2 Energy-aware Design Method 3 Modeling Conceptual Levels 3.1 Goal Based Modelling Language 3.2 Business Process Modelling Language 3.3 Mapping Concepts 4 Energy Consumption of Security Measures 5 Related Work 6 Conclusions References A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline 1 Introduction 2 Related Work 3 A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques 4 Conclusion References Parsing Causal Models – An Instance Segmentation Approach 1 Introduction 2 Related Work 3 Proposed Solution 3.1 Synthetic Dataset 3.2 Arrow Mask R-CNN Model 3.3 Matching, Text Extraction and Node Classification 4 Evaluation 4.1 Evaluation of the Detection Model 4.2 Evaluation of the Matching 4.3 Evaluation of the Graph Reconstruction 5 Conclusion and Future Work References Visualising Personal Data Flows: Insights from a Case Study of Booking.com 1 Introduction 2 Related Work 3 Methodology 4 Results 4.1 How Personal Data Is Collected by Booking.com 4.2 How Booking.com Share Data with Other Parties 5 Further Discussions and Conclusion References Rsourcer: Scaling Feedback on Research Drafts 1 Introduction 2 Rsourcer Pipeline and Prototype Design 2.1 Design Challenges 2.2 Crowsourcing-based Pipeline 3 Evaluation 3.1 Methods 3.2 Results References Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring 1 Introduction 2 Predictive Recommining Framework 2.1 Offline Component: Building the Recommender 2.2 Online Component: Applying the Recommender 3 Experimental Evaluation 3.1 Experiment I: Generalizability Test 3.2 Experiment II: Real-live Event Logs 4 Discussion 5 Conclusion References A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations 1 Introduction 2 Extended BDI Framework 2.1 Cyber Domain Ontology and BDI Plan Library 2.2 Plan Option Selection Under Uncertainty 2.3 Intention Selection Using MDPs 3 Execution on the Penetration Testing Case Study 4 Conclusion References Integrating IoT-Driven Events into Business Processes 1 Introduction 2 Problem Statement and Motivating Example 3 Related Work 4 Research Method and Requirements 5 Modeling IoT-Driven Events in Processes 5.1 Abstract Syntax: IoT-Driven Events in BPMN 2.0 5.2 Concrete Syntax: Visual Representation of IoT-Driven Events 6 Discussion 7 Summary and Outlook References Adaptive Task-Oriented Chatbots Using Feature-Based Knowledge Bases 1 Introduction 2 Conceptual Model and Knowledge Base 3 Chatbot Story Design 4 Component Design and NLU Pipeline 5 Planned Evaluation 6 Related Work 7 Conclusions and Future Work References Cicero: An AI-Based Writing Assistant for Legal Users 1 Introduction 2 Related Work 3 Methodology 3.1 Pre-processing 3.2 Fine-Tuning 4 Usability 5 Evaluation 6 Ongoing and Future Work References AIDA: A Tool for Resiliency in Smart Manufacturing 1 Introduction 2 Tool Architecture 3 Demonstrating the AIDA Tool 4 Related Works 5 Concluding Remarks References Conceptual Formalization of Massive Storage for Advancing Decision-Making with Data Analytics 1 Introduction 2 Related Work 3 Conceptual Data Lake's Architecture and Meta-Model 4 Demonstration Case 5 Conclusions References Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution 1 Introduction 2 Envisioned Approach 2.1 Overview 2.2 Detection of Model Changes 2.3 Tracing the Impacted Tests 3 Preliminary Evaluation 3.1 Data Set and Protocol 3.2 Preliminary Results 4 Related Work 5 Conclusion References Advancing IS Strategy for Natural History Museums with Method Engineering in the Digital Age 1 Introduction 2 Current Challenges for Museums in Digital Transformation 2.1 The Covid19 Crisis as a Turning Point 2.2 Educational Challenges 2.3 Interconnected Challenges 3 Literature Review and Novelty 4 Applied Research at the Museu de Ciències Naturals de Barcelona (MCNB) 4.1 Research Design 4.2 The Theorising or Theory Building Process References The KYKLOS Tool for Modeling Changing Capabilities 1 Introduction 2 Background 2.1 Development in a Meta-Modeling Platform 2.2 The KYKLOS Method 3 The KYKLOS Tool 3.1 Syntax 3.2 Semantics 3.3 Graphical Notation 3.4 Functionalities 4 Conclusion References Author Index