KI - Künstliche Intelligenz - CfP Special Issue: Business Process Management (BPM) in the era of AI (BPM-AI)
Business Process Management (BPM) consists of several sub-areas such as business process strategy, business process modeling, business process implementation, business process automation and execution, business process monitoring and control, and continuous business process improvement. A typical BPM system processes a variety of data on business process executions, e.g., the relevant steps of a process, their factual and temporal sequence, required and deployed human and technical resources, captured sensor data. Tapping into these data sources using AI-based techniques for pattern analysis, data mining and information extraction is a traditional standard application of AI techniques in BPM. However, many other interesting research applications are now emerging at this interface. BPM as an application field, in turn, opens interesting new fundamental questions. For example, the core concept of a business process is like the concept of an event sequence or a time series. However, in typical business cases, a process is distributed and does not consist of a sequence of events and should therefore be understood as non-sequential. These and other characteristics pose new fundamental questions in the field of AI.
This special issue aims at providing an overview of the work in AI and BPM. The topics of interest include, but are not limited to, the following topics:
- Business Process Monitoring, predictions and recommendations,
- Natural language processing and process modeling,
- AI-based techniques for new business models,
- AI-based techniques for process mining,
- AI-assisted process design,
- Automated-planning for business processes,
- Business Process rule mining,
- Decision support systems for business processes,
- Robotic Process Automation (RPA),
- Trustworthy AI, explainability, transparency in the field of BPM.
The special issue welcomes technical contributions (of up to 20 pages), abstracts (4 pages), e.g., on doctoral theses or habilitations, system descriptions (4 pages), project reports (4 pages), or discussion articles (4-8 pages).
All submissions will be peer-reviewed.
Submission deadline for articles: November 1, 2023
Contact:
Peter Fettke (Saarland University, DFKI), peter.fettke@dfki.de (primary contact)
Chiara Di Francescomarino (University of Trento), c.difrancescomarino@unitn.it