Space Regulatory Glossary AI & Data Science
structured extraction
- The process of converting free-text or semi-structured documents into machine-readable data with defined fields, types, and schemas. Unlike general summarization, structured extraction produces consistent, queryable output such as JSON records with specific keys.
- Extracting applicant name, frequency bands, orbital parameters, and filing dates from an FCC space station application is a structured extraction task. The output schema is predefined; the challenge is reliably populating it from documents with inconsistent formatting.
Read: Benchmarking LLMs for Domain-Specific Extraction
Mentioned in The Downlink
- AI Verification Engineering: Architecture for Trustworthy Regulatory AI
RAG hallucinates at 17 to 33 percent in production legal tools. The architecture of trustworthy regulatory AI: source grounding, extraction validation, confidence scoring, and standards-aligned verification.