Methods and systems for constructing an ontology of log messages with navigation and knowledge transfer

This invention creates an interactive visual map to help understand what's happening inside complex computer systems by analyzing their log messages. It organizes these messages by the products and applications they originate from, and the specific event types they describe. The system identifies these event types by using pattern matching to extract key information from the messages and then classifies them based on how frequently they occur, presenting this information in an explorable map.

Why it matters: Filed before advanced NLP models were widely accessible for log parsing. The claims describe using regular expressions and heatmaps, but modern machine learning could significantly enhance event type extraction and anomaly detection from log data.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, data processing, GUI, data center integration

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