  The ongoing fourth Industrial Revolution depends mainly on robust Industrial
Cyber-Physical Systems (ICPS). ICPS includes computing (software and hardware)
abilities to control complex physical processes in distributed industrial
environments. Industrial agents, originating from the well-established
multi-agent systems field, provide complex and cooperative control mechanisms
at the software level, allowing us to develop larger and more feature-rich
ICPS. The IEEE P2660.1 standardisation project, "Recommended Practices on
Industrial Agents: Integration of Software Agents and Low Level Automation
Functions" focuses on identifying Industrial Agent practices that can benefit
ICPS systems of the future. A key problem within this project is identifying
the best-fit industrial agent practices for a given ICPS. This paper reports on
the design and development of a tool to address this challenge. This tool,
called IASelect, is built using graph databases and provides the ability to
flexibly and visually query a growing repository of industrial agent practices
relevant to ICPS. IASelect includes a front-end that allows industry
practitioners to interactively identify best-fit practices without having to
write manual queries.
