Meaning by design
Resources carry explicit, portable meaning so systems do not repeatedly infer what content represents.
OSYNIA is a proposed open foundation for a digital world where knowledge is understandable, capabilities are discoverable and intent can become action — with less unnecessary AI computation.
We built interfaces mainly for people. Now we increasingly ask AI systems to infer semantics, discover actions and reconstruct context from those interfaces.
Meaning and capabilities are often buried in pages, screens and disconnected services. Interpretation must be repeated.
Systems publish portable, trusted contracts that humans, applications and agents can use without unnecessary guesswork.
OSYNIA proposes a shared semantic foundation — not another closed platform, application framework or AI model.
Resources carry explicit, portable meaning so systems do not repeatedly infer what content represents.
Describe what needs to be achieved. Discover verifiable capabilities that can complete the task.
Track relationships and changes across content, interfaces and dependent resources.
Prefer deterministic understanding and smaller models when they are sufficient.
Publish vendor-neutral contracts that work across applications, organisations and devices.
Preserve provenance, permission, consent and accountable execution.
Publish meaning and capabilities once. Make them available to websites, enterprise applications, assistive technology, autonomous agents and experiences we haven't invented yet.
Explore the architecture ↗Six proposed specifications organise the research. Their details are drafts, intended to evolve through evidence and community review.
Portable descriptions of resources, semantics, relationships, versions and provenance.
↗OSYNIA–CTyped descriptions of actions, inputs, preconditions, permissions and outcomes.
↗OSYNIA–EMeaning expressed through adaptable web, mobile, assistive and agent experiences.
↗OSYNIA–SVersioned change propagation through connected resource and content graphs.
↗OSYNIA–TAuthentication, authorisation, consent, provenance and auditability.
↗OSYNIA–DFederated discovery of trusted resources, knowledge and executable capabilities.
↗Our hypothesis: explicit semantics, portable capabilities and connected context can make digital systems more accessible, interoperable and computationally efficient. The next step is to test that hypothesis rigorously.
We are starting with a narrow, implementable resource contract and a reproducible demonstration — not a claim that a new global standard already exists.
Publish a small, testable semantic resource contract.
Build reference code and a connected-content use case.
Compare correctness, integration effort and AI inference cost.
Invite independent implementations and standards feedback.
Researchers, engineers, accessibility specialists, standards contributors and critical thinkers are invited to examine the proposal.