From Saga to ODKE+: The Automated Evolution of Trustworthy Knowledge Graphs and LLM Grounding
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From Saga to ODKE+: The Automated Evolution of Trustworthy Knowledge Graphs and LLM Grounding
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Address the issue. Today, we have a different episode. We analyze ODKE+, a pipeline that promises to solve a significant problem with graph usage in Semantic SEO projects: their freshness and reliability.
The article comprehensively introduces ODKE+, a production-grade system developed by Apple for the automatic extraction of open-domain knowledge from web sources, using Large Language Models (LLMs) and ontologies. This system is designed to maintain up-to-date and complete knowledge graphs (KGs), addressing the challenges of volume, variety, veracity, and velocity associated with online information. ODKE+ employs a modular pipeline that includes components such as an Extraction Launcher to detect obsolete facts, a hybrid Knowledge Extractor (based on patterns and ontology-driven LLMs), and a Corroborator with a lightweight LLM for grounding verification, ensuring high factual accuracy of 98.8% across millions of ingested facts. The system supports both batch and streaming modes, significantly improving data coverage and freshness compared to traditional methods.