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Pareto-Optimal Trace Generation from Declarative Process Models
Declarative process models (DPMs) enable the description of business process models with a high level of flexibility by being able to describe the...
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An Object-Centric Approach to Handling Concurrency in IoT-Aware Processes
The increasing adoption of IoT in the context of Business Process Management (BPM) makes it necessary to efficiently coordinate concurrent processes...
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Analyzing the Devil’s Quadrangle of Process Instances Through Process Mining
The Devil’s Quadrangle is a framework used in Business Process Management to describe the inherent process performance trade-offs regarding the time,...
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Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP
We investigate the use of Answer Set Programming (ASP) for the problem of conformance checking of LTL-based Declarative Process Specifications. In...
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ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks
Key value pair (KVP) extraction or Named Entity Recognition (NER) from visually rich documents has been an active area of research in document...
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Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study
Cyber-physical systems embedded in various areas connected to the internet generate unprecedented volumes of data. Humans frequently interact with...
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Digital Twin of the Organization for Support of Customer Journeys and Business Processes
We present a new approach for a Digital Twin of an Organization (DTO). Its focus is to better support weakly structured and knowledge-intensive...
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Equivalence of Data Petri Nets with Arithmetic
Data Petri nets (DPNs) with arithmetic have gained popularity as a model for data-aware processes, thanks to their ability to balance simplicity with...
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An Experiment on Transfer Learning for Suffix Prediction on Event Logs
Predicting future activity occurrences for a process instance is a key challenge in predictive process monitoring. Sequential deep learning models...
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Relationships Between Change Patterns in Dynamic Event Attributes
Process mining utilizes process execution data to discover and analyse business processes. Event logs represent process execution data, providing...
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Design Principles for Using Business Process Management Systems
Organizations aim to achieve operational excellence to reduce costs and improve the quality of their business processes. Business process management...
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A Responsibility Framework for Computing Optimal Process Alignments
In this paper we propose a novel approach to process alignment which leverages on contextual information captured by way of responsibilities. On the...
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Experiences from the Internet-of-Production: Using “Data-Models-in-the-Middle” to Fight Complexity and Facilitate Reuse
Data-driven approaches play a key role in improving operational processes and production is no exception. The Internet-of-Production (IoP) is an...
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Large Language Models Can Accomplish Business Process Management Tasks
Business Process Management (BPM) aims to improve organizational activities and their outcomes by managing the underlying processes. To achieve this,...
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Timed Alignments with Mixed Moves
We study conformance checking for timed models, that is, process models that consider both the sequence of events that occur, as well as the...
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A Case for Business Process-Specific Foundation Models
The inception of large language models has helped advance the state-of-the-art on numerous natural language tasks. This has also opened the door for...
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State of the Art: Automatic Generation of Business Process Models
Manual Business Process Modeling can be a time-consuming and error-prone process, resulting in low-quality models. Therefore, various approaches have...
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Towards a Measurement Instrument for Assessing Capabilities When Innovating Less-Structured Business Processes
Many contemporary organizations deal with different types of business processes, including less-structured business processes (LSBP). The latter are...
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An Event-Centric Metamodel for IoT-Driven Process Monitoring and Conformance Checking
Process monitoring and conformance checking analyze process events describing process executions. However, such events are not always available or in...
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Repair of Unsound Data-Aware Process Models
Process-aware Information Systems support the enactment of business processes, and rely on a model that prescribes which executions are allowed. As a...