- Antonella Guzzo, Universita della Calabria
- Artem Polyvyanyy, The University of Melbourne
- Arthur H. M. ter Hofstede, Queensland University of Technology
- Claudio Di Ciccio, Vienna University of Economics and Business
- Renuka Sindhgatta, Queensland University of Technology
The Seventh International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2022) aims to provide a high-quality forum for researchers and practitioners to exchange research findings and ideas on methods and practices in the corresponding areas. Process Querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of processes, both observed and recorded in the real-world and envisioned and designed in conceptual models, to systematically organize and extract process-related information for subsequent use. Process Manipulation studies inferences from real-world observations for augmenting, enhancing, and redesigning models of processes with the ultimate goal of improving real-world business processes. Process Intelligence looks into the application of representation models and approaches in Artificial Intelligence (AI), such as knowledge representation, search, automated planning, reasoning, natural language processing, explainable AI, autonomous agents, and multi-agent systems, among others, for solving problems in process mining, that is automated process discovery, conformance checking, and process enhancement, and vice versa using process mining techniques to tackle problems in AI.