Data extraction in industrial automation systems

A system for providing a configuration for data extraction from an automation system, the system comprising:

• at least one processor that executes instructions that are stored in a memory;
• a signal selection agent executed by at least one processor performs:
• receive a user selection of the at least one module of the automation system;
• generate, for display to the user, a user interface displaying one or more selectable signals associated with the selected module and displaying one or more tools enabling the user to select relevant signals associated with the selected module based on data mined from one or more data sources to the automation system;
• receive a user selection of one or more of the selectable relevant signals;
• automatically generate the configuration for data extraction on the basis of the selected relevant signals by translating the selected relevant signals to the configuration for data extraction, wherein the configuration uses concrete names of the at least one module and the selected relevant signals to provide a path in an address space exposed by the automation system, wherein the path is used to read the selected relevant signals associated with the selected module;
• wherein the signal selection agent comprises a domain knowledge mapping model comprising a machine learning model trained to map domain concepts based on the data mined from the one or more data sources to the selectable signals of a given module of the automation system, wherein the domain concepts provide classification data of the at least one module of the automation system.