WebMEM™

The Protocol for Structuring, Delivering, and Conditioning Trust-Scored AI Memory on the Open Web

Semantic Digest

Semantic Digest is a trust-scored, machine-ingestible memory fragment that encodes key facts, glossary-aligned terms, provenance metadata, and entity relationships in multi-format outputs optimized for AI retrieval and verification.

🧠 Full Definition

Within the WebMEM Protocol, a Semantic Digest is a data object produced as a fragment class (SemanticDigestFragment) inside a Semantic Data Template. It distills authoritative content into a structured form that AI systems can directly ingest, store, and cite without parsing the visible HTML.

Each Semantic Digest includes:

  • Key factual statements scoped to a defined entity or term
  • Schema-defined objects (e.g., Dataset, DefinedTerm, FAQPage)
  • Provenance metadata with verifiable source lineage
  • Glossary scope and vocabulary alignment for term disambiguation
  • Links to multiple serialization formats (TTL, JSON-LD, Markdown, PROV, XML)

📜 Role in the WebMEM Protocol

In protocol terms, a Semantic Digest is a payload format for fragment-level memory delivery. It is:

  • Declared inside an SDT container on the publishing surface
  • Bound to a Provenance Layer for trust scoring
  • Resolvable at predictable URIs for direct retrieval
  • Format-agnostic, with normative serialization mappings defined by WebMEM

This makes the Semantic Digest the content body in WebMEM’s fragment transport model.

⚙️ How It Works

A Semantic Digest may be exposed:

  • Inline — inside a <template> element for embedded retrieval
  • Externally — at a predictable endpoint path for direct agent access

Example endpoint structure:

example.com/glossary/trust-architecture/semantic/jsonld/
example.com/plans/H5525-078-0/semantic/ttl/
example.com/hubs/medicare-enrollment/semantic/prov/

💡 Why It Matters

Semantic Digests bypass traditional HTML parsing and SEO intermediaries. They provide AI systems with:

  • Fragment-level precision and verifiability
  • Machine-optimized serialization for ingestion
  • Canonical entity alignment and term disambiguation
  • Persistence across retrieval chains and memory stores

🗣️ In Speech

“A Semantic Digest is your content’s API for AI — the memory object that systems actually store and retrieve.”

📌 Deprecation Note

“Semantic Digest Protocol” was the former term for the publishing method that generated Semantic Digests under TrustPublishing. This is now fully integrated into the WebMEM Protocol as the SemanticDigestFragment class and is no longer a standalone protocol.

🔗 Related Terms