Subject matter expert knowledge mapping using dynamic clustering

This invention describes a computer system that helps experts diagnose and solve problems with physical equipment. It works by analyzing past maintenance records, called work orders, for a specific asset, extracting keywords, and grouping similar issues into clusters with their resolutions. When a new problem arises, the system matches it to a cluster based on keywords and suggests potential causes and solutions from historical data.

Why it matters: Filed before the widespread adoption of advanced Large Language Models. These models can now significantly improve the semantic understanding, keyword extraction, and clustering of unstructured expert knowledge from historical work orders, making the system more robust and accurate.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data processing, clustering algorithms

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