Business Process Management Workshops: BPM 2022 International Workshops, Münster, Germany, September 11–16, 2022, Revised Selected Papers

Preface
Contents
6th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2022)
	6th International Workshop on Artificial Intelligence for Business Process Management
	Organization
	Program Committee
Constraints for Process Framing in AI-Augmented BPM
	1 Introduction
	2 A Brief Recap of Declare
	3 Boundaries that Can be Broken
	4 Boundaries that are Not Crisp
	5 Boundaries on the Evolution of Multiple Objects
	6 Conclusion and Further Challenges
	References
Transformer Models for Activity Mining in Knowledge-Intensive Processes
	1 Introduction
	2 Background
		2.1 Language Models and Zero-Shot Classification
		2.2 Taxonomy and Recipient Intent
	3 Problem Formulation
	4 Framework for Intent Classification and Activity Mapping
		4.1 Mapping Sentences to Intents
		4.2 Mapping Intents to Activities
	5 Evaluation
		5.1 Test Data
		5.2 Evaluation Metrics
		5.3 Results
	6 Related Work
	7 Conclusion
	References
Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes
	1 Introduction
	2 Problem Statement and Research Hypotheses
	3 Background
	4 Assistance Scenarios
		4.1 Execution Scenarios
		4.2 Explanation Scenarios
	5 Related Work
	6 Methodology
		6.1 Chatbot Prototype Info
		6.2 Experiment Information
	7 Insights from the Experiment
	8 Discussion, Limitations and Future Work
	9 Conclusion
	References
The Label Ambiguity Problem in Process Prediction
	1 Introduction
	2 Label Ambiguity in Process Prediction
	3 Dealing with Label Ambiguity
	4 Conclusion
	References
Situation-Aware eXplainability for Business Processes Enabled by Complex Events
	1 Introduction and Motivation
	2 Background
	3 Methodology
		3.1 Types of Events
		3.2 Approach
	4 Illustrative Example
		4.1 Applying the Methodology in Our Example
	5 Evaluation
	6 Results
	7 Conclusions and Future Research
	References
6th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2022)
	6th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2022)
	Organization
	BP-Meet-IoT 2022 Workshop Chairs
	BP-Meet-IoT 2022 Program Committee
Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs
	1 Introduction
	2 Motivation
	3 Related Work
		3.1 Existing Standards for Event Logs
		3.2 Process Mining Using IoT Data
	4 Challenges
	5 Requirements for an IoT-Enhanced Event Log Model
	6 Assessment of Current Event Log Standards
		6.1 Comparison of Existing Models
	7 Conclusion
	References
Method to Identify Process Activities by Visualizing Sensor Events
	1 Introduction
	2 Basic Concepts and Context
		2.1 Basic Concepts
		2.2 Context: Fischertechnik Factory Model
		2.3 Process Awareness in Sensor Data
	3 Related Work
	4 Method to Identify Activities from Sensor Events
		4.1 Visualize All Sensor Data Over Time
		4.2 Identify Relevant CPS Components
		4.3 Filter by CPS Component
		4.4 Identify First and Last Edges of Segments
		4.5 Determine and Save Activity Signature in Knowledge Base (KB)
		4.6 Find Similar Activities
		4.7 Visualize All Detected Activities over Time
	5 Proof of Concept and Discussion
	6 Conclusion and Future Work
	References
A Holistic Framework for IoT-Aware Business Processes
	1 Introduction
	2 Problem Statement
	3 Solution Proposal
	4 Business Process Management System for IoT
	5 Smart Factory Scenario Process
	6 Related Work
	7 Conclusions and Outlook
	References
vAMoS: eVent Abstraction via Motifs Search
	1 Introduction
	2 Related Work
	3 Solution
	4 Evaluation
		4.1 Evaluation on Real Data
		4.2 Discussion and Limitations
	5 Conclusion and Future Work
	References
18th International Workshop on Business Process Intelligence (BPI 2022)
	18th International Workshop on Business Process Intelligence (BPI)
	Organizaiton
	Workshop Chairs
	Program Committee
Mining for Long-Term Dependencies in Causal Graphs
	1 Introduction
	2 Preliminaries
		2.1 Event Log
		2.2 Causal Graph
		2.3 Direct Dependency Metrics
		2.4 Hybrid Miner
	3 Detection of Long-Term Dependencies
		3.1 Quantifying Long-Term Dependencies
		3.2 Pruning Long-Term Dependencies
		3.3 Example Application
	4 Evaluation
		4.1 Time Performance
		4.2 Qualitative Evaluation
	5 Related Work
	6 Conclusion
	References
What Can Database Query Processing Do for Instance-Spanning Constraints?
	1 Introduction
	2 Post-mortem Analysis by Queries
		2.1 Database Schema
		2.2 Examples
	3 Compliance Monitoring as Incremental View Maintenance
	4 Experiments
	5 Sequence Data Extensions of Query Languages
	6 Discussion
	References
2nd International Workshop on Business Process Management and Routine Dynamics (BPM&RD 2022)
	2nd International Workshop on Business Process Management and Routine Dynamics (BPM&RD 2022)
	Organization
	Workshop Chairs
	Program Committee
	References
Effects of Concurrency in Complex Service Organizations: Evidence from Electronic Health Records
	1 Introduction
	2 Background
		2.1 Role-Routine Ecology in Complex Service Organizations
		2.2 Concurrency in Complex Service Organizations
		2.3 Concurrency Within Process Instances
		2.4 Concurrency Between Process Instances
		2.5 Competing Effects of Concurrency
	3 Research Context
		3.1 EHR Audit Trail Data
		3.2 Concurrency in the Clinic
	4 Methods
		4.1 Descriptive Statistics
	5 Model Specification and Findings
	6 Discussion
		6.1 What Controls the Flow?
		6.2 Emergent Complexity and Model Quality
	7 Conclusion
	References
15th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2022)
	15th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2022)
	Organization
	Program Committee
	References
PYP4Training - Ludifying Business Process Training
	1 Introduction
	2 Background
		2.1 Business Process Training
		2.2 Business Process-Based Digital Games
		2.3 Play Your Process
	3 Related Work: Serious Games for Process Training
	4 Research Design
	5 PYP4Training Design
		5.1 Study of the Context
		5.2 Element Mapping
		5.3 Game Design
		5.4 Development and Prototyping
		5.5 Validation
		5.6 Packaging
	6 Limitations
	7 Final Remarks
	References
On Current Job Market Demands for Process Mining: A Descriptive Analysis of LinkedIn Vacancies
	1 Introduction
	2 Literature Background
	3 Research Design
		3.1 Data Collection
		3.2 Data Preparation
		3.3 Data Analysis
	4 Results
		4.1 Geographical Distribution of Vacancies (O1)
		4.2 Distribution of Vacancies Based on Company Type and Sector (O2)
		4.3 Job Types, Job Titles and Technical/Business Orientation (O3)
	5 Discussion
		5.1 Implications
		5.2 Research Limitations and Future Work
	6 Conclusion
	References
1st International Workshop on Data-Driven Business Process Optimization (BPO 2022)
	1st International Workshop on Data-Driven Business Process Optimization (BPO 2022)
	Preface
	Organization
	Organizing Committee
	Program Committee
Combining Process Mining and Optimization: A Scheduling Application in Healthcare
	1 Introduction
	2 Background
	3 Process Mining
		3.1 Analysing the Procedure Process
		3.2 Identifying the Causes of the Delay
	4 An Optimization Model for the Interventional Radiology Process Scheduling Problem
	5 Quantitative Analysis
		5.1 Computational Experiment Settings
		5.2 Analysis
	6 Conclusions and Future Work
	References
Defining Process Performance Measures in an Object-Centric Context
	1 Introduction
	2 Background and Related Work
	3 Performance Measurement in the Multiple Case Notion
		3.1 Comparison of Measure Definitions
		3.2 Extension of the PPINOT Metamodel for the Definition of PPIs
		3.3 Modeling of Measures
	4 Discussion
	5 Conclusion and Future Work
	References
10th International Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2022)
	10th International Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2022)
	Organization
	Workshop Chairs
	Program Committee
Design-Time Support for Fragment-Based Case Management
	1 Introduction
	2 Related Work
	3 Motivation and Requirements
		3.1 Fragment-Based Case Management
		3.2 Requirements
	4 Design-Time Support
		4.1 Guidelines
		4.2 Tool
		4.3 Integration
	5 Evaluation
	6 Discussion and Conclusion
	References
Process Mining Meets Statistical Model Checking: Towards a Novel Approach to Model Validation and Enhancement
	1 Introduction
	2 Preliminaries and Related Work
		2.1 Attack-Defense Trees
		2.2 (Black-Box) Statistical Model Checking
		2.3 Process Mining
	3 Extending (Black-Box) SMC with Process Mining
		3.1 Methodology
		3.2 Operationalizing the Methodology
	4 Experiments
		4.1 RisQFLan Encoding of the Running Example
		4.2 Analysis and Refinement of the Original Model
		4.3 Analysis of the First Refinement
		4.4 Analysis of the Second Refinement
	5 Conclusions and Future Work
	References
A Systematic Comparison of Case Management Languages
	1 Introduction
	2 Related Work
	3 Criteria-Based Comparison
		3.1 Method
		3.2 Criteria and Analysis
	4 User Study
		4.1 Hypothesis and Experiment Design
		4.2 Experiment Implementation
		4.3 Experiment Results
	5 Discussion and Outlook
	References
Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study
	1 Introduction
	2 Fundamentals
		2.1 Conformance Checking and Alignments
		2.2 Medical Logic Modules and Arden Syntax
	3 Materials and Methods
		3.1 Generation of the MLM Rule Base
		3.2 Event Log
		3.3 Conformance Checking
		3.4 Alignment
	4 Implementation
	5 Discussion
	6 Conclusion
	References
Improving Declarative Process Mining with a Priori Noise Filtering
	1 Introduction
	2 Noise Filtering Algorithm
		2.1 Fine-Grained Filtering
		2.2 Coarse Grained Filtering
		2.3 The Algorithm
		2.4 Parameter Optimisation
	3 Experiment 1: Synthetic Data
	4 Experiment 2: Process Discovery Contest 2020
	5 Conclusion
	References
1st International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2022)
	1st International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2022)
	Organization
	Organizing Committee
	Program Committee
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings
	1 Introduction
	2 Background and Related Work
		2.1 Preliminaries
		2.2 Contextualized Word Embeddings
		2.3 Related Work
	3 Text-Aware Process Prediction with BERT
		3.1 Preprocessing
		3.2 Prediction Model Architecture
	4 Evaluation
		4.1 Data Set
		4.2 Experimental Setting
	5 Results
	6 Discussion and Concluding Remarks
	References
PET: An Annotated Dataset for Process Extraction from Natural Language Text Tasks
	1 Introduction
	2 Annotation Schema: Process Model Elements and Relations
	3 The PET Dataset
	4 Baseline Results
	5 Conclusion
	References
Supporting Event Log Extraction Based on Matching
	1 Introduction
	2 Problem Illustration and Challenges
	3 Mapping Database Tables to Process Activities
		3.1 Overview
		3.2 First-Line Matcher (1LM)
		3.3 Second-Line Matcher (2LM)
	4 Evaluation
		4.1 Data
		4.2 Setup
		4.3 Results
		4.4 Discussion
	5 Related Work
	6 Conclusion
	References
Author Index