Aggregation functions for nodes in ontological frameworks in representation learning for massive petroleum network systems

This invention describes a computer program that builds intelligent data models, called ontological frameworks, for large-scale industrial facilities like petroleum networks. It works by defining rules to combine information from various sources, even if the data comes in different formats and in real-time. These rules help categorize and link components, events, and methods within the facility, creating a structured understanding that can then be used to discover new insights and answer complex questions about the system.