Dental Performance and Risk Compliance Ontology (DPRCO)

The rapid integration of Generative AI, Large Language Models (LLMs), and Agentic Web architectures (such as the Model Context Protocol — WebMCP) has led to an algorithmic crisis of trust within Your Money or Your Life (YMYL) search verticals, specifically in dental healthcare. Traditional search engine optimization (SEO) relies on semantic text strings (Claims), which are easily spoofed and generated at scale by machines.

To protect users from medical misinformation, legitimate healthcare institutions require a deterministic infrastructure to translate physical medical compliance into machine-readable trust. This submission presents zseo: (Dental Performance & Risk Compliance Ontology), an operational extension of the global SOLPDT standard. It transforms textual declarations into verified digital assets ("Assets, not claims"), compliant with W3C Verifiable Credentials, the FDI World Dental Federation Consensus, and national clinical standards.

To ground this ontology in verifiable real-world medical compliance, the zseo: vocabulary is developed as the official technical infrastructure of the National Project "Quality Dentistry of Russia" (Качественная Стоматология России — КСР).

The project is initiated and methodologically validated by the Russian Dental Association (RDA / Стоматологическая Ассоциация России — СтАР). Skyline Risk Solutions LLC serves as the Official Technical Operator and implementation partner, responsible for the cryptographic and semantic deployment of the verification contour.

The integration matrix, criteria, and institutional status of verified clinical participants are programmatically mapped directly to the official registry of the national project:

https://e-stomatology.ru/star/industrial/quantity_dent.php

By integrating this framework, the ontology delineates high-risk clinical procedures into distinct sub-classes (such as zseo:ImplantologySurgery, zseo:PediatricDentistry, and zseo:OrthodonticsTreatment) inheriting from zseo:MedicalValidation. This alignment ensures that data parsed by LLM crawlers is pre-validated by trusted national medical authorities, eliminating algorithmic guesswork and optimizing AI Overviews mapping.

While SOLPDT 1.0 provides the baseline semantic architecture for static cryptographic verification ("Soft Trust" / cached mode), this submission explicitly outlines forward-compatibility with the SOLPDT 1.1 (Agentic Trust Layer Extension).

Under the SOLPDT 1.1 paradigm, the zseo: namespace expands from a descriptive microformat into a dynamic, real-time context provider for autonomous AI Agents. Through properties like zseo:web3Contour and real-time MIS electronic health record (EHR) hashing via SHA3-256 (solpdt:ProofOfProcess), the ontology establishes an interactive "Hard Trust" verification loop. AI Agents can autonomously query the node to verify current surgical licensing, anesthesiologist tokens, and dynamic risk indexes before synthesizing answers for medical queries.

The physical and cryptographic execution of the zseo: ontology is distributed globally via the SOL-Trust Network — a decentralized Web3-compliant infrastructure (https://sol-trust.net/).

The deployment, maintenance, and compliance audits of the active nodes are strictly carried out by authorized licensed operators and partners of the SOL-Trust Network, under the governance of the Head Licensor, Skyline Risk Solutions LLC. The network operators ensure:

• The Primary Contour: Enforcement of Ed25519 asymmetric cryptography binding medical content to the decentralized identity (DID) of practicing clinicians.
• The Secondary Contour: Real-time on-chain broadcasting of cryptographic compliance metrics, such as zseo:skylineRiskScore.

This institutional deployment model ensures that no individual clinic can falsify its semantic trust graph, as every assertion is mathematically verified by the SOL-Trust Network consensus layer before reaching the public semantic web.

By establishing the Digital Humanism Triad ("Things, not strings; Assets, not claims; Content is King"), the zseo: extension ensures that the evolution of generative search and agentic web serves human safety.

We formally submit this vocabulary specification to the W3C Semantic Web and Verifiable Credentials Community Groups for evaluation as an extension to global healthcare microformats. We invite the W3C consortium to review this architecture as an open-source, deterministic standard for secure clinical outcome publishing in the era of the Agentic Web.