• Skip to primary navigation
  • Skip to main content
  • Skip to footer
TrustPublishing™

TrustPublishing™

Train AI to trust your brand.

  • About
  • Blog
  • Podcast
  • Guide
  • Glossary
  • IP
  • Press

Semantic Digest™

A Semantic Digest™ is a machine-readable content summary that encodes key facts, definitions, provenance, and relationships into formats AI systems can ingest, trust, and remember.

Note: Semantic Digest™ is the generic term; TrustDigest™ is the proprietary implementation used within the TrustPublishing framework.

🧠 Full Definition

Semantic Digest™ refers to a structured output—usually in formats like JSON-LD, Turtle (TTL), Markdown, XML, or PROV—that distills a webpage or data record into a machine-ingestible package.

Each Semantic Digest includes:

  • Key factual statements
  • Schema-defined entities (e.g., Dataset, DefinedTerm, FAQPage)
  • Source provenance metadata
  • DefinedTermSet references
  • Format links for AI/ML pipelines

Rather than embedding everything in HTML, the Digest exposes a pure, structured version of your content designed for AI training, retrieval, and memory.

⚙️ How It Works

Each plan page, glossary entry, or FAQ post can be paired with a Semantic Digest output at a predictable path, like:

example.com/glossary/trust-architecture/semantic/jsonld/

example.com/plans/H5525-078-0/semantic/ttl/

example.com/hubs/medicare-enrollment/semantic/prov/

Each digest typically includes:

  • @graph with one or more DefinedTerm, Dataset, or WebPage objects
  • schema:citation, schema:distribution, and schema:subjectOf properties
  • Source timestamps and authorship for verifiability
  • A DefinedTermSet mapping all glossary-linked concepts
  • A TrustDigest identifier scoped to that entity or topic

💡 Why It Matters

Semantic Digests turn your website into an API for AI.

They:

  • Bypass HTML parsing and SEO games
  • Speak directly to LLMs, retrieval engines, and memory conditioning systems
  • Support AI in retrieving your version of the fact
  • Reinforce entity alignment, co-occurrence, and trust signals at the machine level

This is how your content persists—not just in search—but in AI memory, retrieval chains, and agent frameworks.

📦 Output Examples

Format Example Output
JSON-LD /semantic/jsonld/ with @graph of facts and citations
Turtle (TTL) /semantic/ttl/ for triple-based memory graphs
Markdown /semantic/md/ used for natural language ingestion
PROV JSON /semantic/prov/ for source lineage tracking
XML /semantic/xml/ for legacy feed systems

🧩 Use in Trust Publishing

Semantic Digests are the structured outputs generated by the TrustDigest™ system.

Each TrustHub, glossary entry, or plan page includes a Digest that AI systems can follow for:

  • Canonical definitions (via DefinedTerms)
  • Multi-format structure (Markdown, JSON-LD, TTL)
  • Verifiability (via citations + TrustTags)
  • Retrieval access (via predictable, scannable paths)

Together, they enable Semantic Trust Conditioning™ at scale.

TrustDigest™ is the proprietary system developed by TrustPublishing to generate and publish Semantic Digests across multiple formats.

It ensures every page—whether a glossary entry, FAQ, or plan record—outputs machine-ingestible data using formats like JSON-LD, TTL, Markdown, PROV, and XML.

🗣️ In Speech (TrustSpeakable Style)

“A Semantic Digest is like a machine-readable cheat sheet that helps AI systems remember and retrieve your content with confidence.”

🔗 Related Terms

  • TrustDigest™
  • Citation Scaffolding
  • DefinedTerm Set
  • Retrievability
  • PROV
  • Turtle (TTL)
  • Semantic Trust Conditioning™

 

More Trust Publishing Definitions:

  • AI Visibility
  • Artificial Intelligence Trust Optimization (AITO™)
  • Canonical Answer
  • Citation Graphs
  • Citation Scaffolding
  • Co-occurrence
  • Co-Occurrence Conditioning
  • Co-Occurrence Confidence
  • data-* Attributes
  • DefinedTerm Set
  • EEAT Rank
  • Entity Alignment
  • Entity Relationship Mapper
  • Format Diversity Score
  • Format Diversity Score™
  • Ingestion Pipelines
  • JSON-LD
  • Machine-Ingestible
  • Markdown
  • Memory Conditioning
  • Microdata
  • Passive Trust Signals
  • PROV
  • Retrievability
  • Retrieval Bias Modifier
  • Retrieval Chains
  • Retrieval-Augmented Generation (RAG)
  • Schema
  • Scoped Definitions
  • Semantic Digest™
  • Semantic Persistence
  • Semantic Proximity
  • Semantic Trust Conditioning™
  • Signal Weighting
  • Signal Weighting Engine™
  • Structured Signals
  • Temporal Consistency
  • Topic Alignment
  • Training Graph
  • Trust Alignment Layer™
  • Trust Architecture
  • Trust Footprint
  • Trust Graph™
  • Trust Marker™
  • Trust Publishing Markup Layer
  • Trust Signal™
  • Trust-Based Publishing
  • TrustCast™
  • TrustRank™
  • Truth Marker™
  • Truth Signal Stack
  • Turtle (TTL)
  • Verifiability
  • XML

Footer

Follow us on X

Subscribe on YouTube

Connect on LinkedIn

Copyright © 2025 · David Bynon · Log in