Industrial knowledge graph and contextualization

This invention describes a system that builds a structured "knowledge graph" for industrial equipment. It works by taking raw operational data from machines, then applying specific rules and configuration details to make sense of that data. This processed and understood information is then organized into a specialized data structure, particularly for monitoring operational deviations.

Why it matters: Filed before widespread adoption of advanced AI. The manual effort of defining "contextualization rules" and parsing diverse "operational technology data" could now be significantly automated by large language models and machine learning, streamlining the knowledge engineering process.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, data integration, graph database.

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