Track: Intelligent Business Process Management
Nowadays, there exists a growing interest in aligning information systems in a process-oriented way as well as in the effective management of business processes (BPs, i.e., set of related structured activities whose execution produces a specific service or product required by a particular customer). BP management (BPM) has the goal of improving processes and their support by using methods, techniques, and software to design, enact, control and analyze operational processes which involve humans, organizations, applications, and other sources of information. In past years, existing scientific approaches have analyzed the application of different artificial intelligence (AI) techniques to enhance the effectiveness of the different phases of the BPM life cycle since many parallelisms between both disciplines can be found. However, many connections between AI and BPM remain to be exploited.
The goal of this track consists of bringing together practitioners and researchers from different communities like business process management, information systems, software engineering and artificial intelligence, who share an interest in the application of AI techniques to improve the management of BPs and process-aware information systems. Therefore, we are interested in innovative and inter-disciplinary approaches as well as in findings grounded in empirical evidence. The track is intended to be dedicated to discussing the current state of ongoing research and sharing practical experiences.
- Reasoning related to BPs
- Knowledge representation for BPs
- Planning and Scheduling for BPM
- Resource allocation in BPs
- Process Mining
- Social intelligence in BPM
- Optimization of BPs at design time and/or runtime
- Probabilistic methods for uncertain reasoning
- Prediction in BPs
- Simulation of BPs
- Conformance checking
- Monitoring and diagnosing BPs
- Operational support