Ralph Bergmann
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View article: Case-Based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues
Case-Based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues Open
Smart manufacturing applications increasingly rely on time-series data from Industrial IoT sensors, yet these data streams often contain data quality issues (DQIs) that affect analysis and disrupt production. While traditional Machine Lear…
View article: PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees
PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees Open
The increasing reliance on data-driven technologies such as Artificial Intelligence (AI) and Process Mining has transformed various sectors. Yet, access to real-world data is often restricted by privacy concerns. Synthetic data offers a pr…
View article: Unveiling real-world process-related problems in hospitals: a Delphi study
Unveiling real-world process-related problems in hospitals: a Delphi study Open
Many doctors and nurses in hospitals come into contact with problems related to healthcare processes on a daily basis. Although the research communities have already delved deep into healthcare processes, it is not always evident whether t…
View article: Augmentation of Semantic Processes for Deep Learning Applications
Augmentation of Semantic Processes for Deep Learning Applications Open
The popularity of Deep Learning (DL) methods used in business process management research and practice is constantly increasing. One important factor that hinders the adoption of DL in certain areas is the availability of sufficiently larg…
View article: PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees
PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees Open
The increasing reliance on data-driven technologies such as Artificial Intelligence (AI) and Process Mining has transformed various sectors. Yet, access to real-world data is often restricted by privacy concerns. Synthetic data offers a pr…
View article: Case-Based Reasoning Meets Large Language Models: A Research Manifesto For Open Challenges and Research Directions
Case-Based Reasoning Meets Large Language Models: A Research Manifesto For Open Challenges and Research Directions Open
In recent years, the surge of Generative Artificial Intelligence (GenAI ), particularly Large Language Models (LLMs), has led to a significant increase in the use of hybrid systems, which combine the strengths ofdifferent Artificial Intell…
View article: AI-Driven Decision Support in Oncology: Evaluating Data Readiness for Skin Cancer Treatment
AI-Driven Decision Support in Oncology: Evaluating Data Readiness for Skin Cancer Treatment Open
This research focuses on evaluating and enhancing data readiness for the development of an Artificial Intelligence (AI)-based Clinical Decision Support System (CDSS) in the context of skin cancer treatment. The study, conducted at the Skin…
View article: Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning
Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning Open
Analogy-based reasoning is often employed in the treatment of hospitalized patients, especially when clinical guidelines or robust evidence bases are unavailable. This approach is based on the assumption that similar patients respond simil…
View article: Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling Languages
Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling Languages Open
In the context of Industry 4.0, Artificial Intelligence (AI) methods are used to maximize the efficiency and flexibility of production processes. The adaptive management of such semantic processes can optimize energy and resource efficienc…
View article: EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing
EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing Open
According to the guiding principles of Industry 4.0, edge computing enables the data-sovereign and near-real-time processing of data directly at the point of origin. Using these edge devices in manufacturing organization will drive the use…
View article: Empowering Large Language Models in Hybrid Intelligence Systems through Data-Centric Process Models
Empowering Large Language Models in Hybrid Intelligence Systems through Data-Centric Process Models Open
Hybrid intelligence systems aim to leverage synergies in closely collaborating teams of humans and artificial intelligence (AI). To guide the realization of such teams, recent research proposed design patterns that capture role-based knowl…
View article: From Internet of Things Data to Business Processes: Challenges and a Framework
From Internet of Things Data to Business Processes: Challenges and a Framework Open
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing and healthcare. The IoT community has a strong focus on hardware, connectivity and data; the BPM community focuses…
View article: Dataset: An IoT-Enriched Event Log for Process Mining in Smart Factories
Dataset: An IoT-Enriched Event Log for Process Mining in Smart Factories Open
Modern technologies such as the Internet of Things (IoT) are becoming increasingly important in various domains, including Business Process Management (BPM) research. One main research area in BPM is process mining, which can be used to an…
View article: ArgServices: A Microservice-Based Architecture for Argumentation Machines
ArgServices: A Microservice-Based Architecture for Argumentation Machines Open
Argumentation is ubiquitous, and the development of argumentation machines could greatly assist humans in managing and navigating argumentation. However, the development of such systems is hindered by the lack of common standards and suita…
View article: PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations
PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations Open
The increasing usage of social networks has led to a growing number of discussions on the Internet that are a valuable source of argumentation that occurs in real time. Such conversations are often made up of a large number of participants…
View article: Likelihood-based Sensor Calibration using Affine Transformation
Likelihood-based Sensor Calibration using Affine Transformation Open
An important task in the field of sensor technology is the efficient implementation of adaptation procedures of measurements from one sensor to another sensor of identical design. One idea is to use the estimation of an affine transformati…
View article: Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0
Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0 Open
To build intelligent manufacturing systems that react flexibly in case of failures or unexpected circumstances, manufacturing capabilities of production systems must be utilized as much as possible. Artificial Intelligence (AI) and, in par…
View article: A framework for AI-based self-adaptive cyber-physical process systems
A framework for AI-based self-adaptive cyber-physical process systems Open
Digital transformation is both an opportunity and a challenge. To take advantage of this opportunity for humans and the environment, the transformation process must be understood as a design process that affects almost all areas of life. I…
View article: Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning
Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning Open
Similarity-based retrieval of semantic graphs is a crucial task of Process-Oriented Case-Based Reasoning (POCBR) that is usually complex and time-consuming, as it requires some kind of inexact graph matching. Previous work tackles this pro…
View article: Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning
Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning Open
In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by usi…
View article: DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs
DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs Open
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can moni…
View article: Applying MAPE-K control loops for adaptive workflow management in smart factories
Applying MAPE-K control loops for adaptive workflow management in smart factories Open
Monitoring the state of currently running processes and reacting to ad-hoc situations during runtime is a key challenge in Business Process Management (BPM) . This is especially the case in cyber-physical environments that are characterize…
View article: SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation
SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation Open
Data and process mining techniques can be applied in many areas to gain valuable insights. For many reasons, accessibility to real-world business and medical data is severely limited. However, research, but especially the development of ne…
View article: Weighted Violations in Alignment-Based Conformance Checking
Weighted Violations in Alignment-Based Conformance Checking Open
Conformance checking is a process mining technique that allows verifying the conformance of process instances to a given model. Many conformance checking algorithms provide quantitative information about the conformance of a process instan…
View article: Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study
Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study Open
Conformance checking is a process mining technique that allows verifying the conformance of process instances to a given model. Thus, this technique is predestined to be used in the medical context for the comparison of treatment cases wit…