Knowledge & Data · Software component

Document Structure Validator

Software componentKnowledge & DataKnowledge & Dataarc:DocumentStructureValidator

A validator that parses documents to confirm expected sections are present, content meets minimum length thresholds, and text is not truncated.

Responsibility. Detects document-level incompleteness.

Also known as: Document-level completeness check, Structural analysis

Direct neighbourhood (hover for relationship types)

Relationships

is invoked by dependency

Data Quality Validator Ch6.4

Design guidance

SHOULD incorporate domain knowledge of which sections a document type requires.

Classification

Patterns: NLP truncation detectionExpected-section checks
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Procedures with missing stepsTroubleshooting guides without resolutionsTruncated content from API errors

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.