What question did this study set out to answer?

The aim is to create a set of machine-readable files to standardize AI protocols and enhance data interoperability.

May 8, 2026Open Access

AUGMANITAI BUILD Machine-Readable — Well-Known + Protocols + SPARQL + Ontology-Extensions

Key Points

The aim is to create a set of machine-readable files to standardize AI protocols and enhance data interoperability.
Developed a restricted bundle of 32 machine-readable infrastructure files.
Included standardized endpoints and protocols for AI systems.
Provided templates for SPARQL queries and terminology modules.
The collection includes files like agent.json and security.txt that support AI discovery.
Includes unique agent-protocols facilitating communication for AI crawlers.
Terminology modules comply with TBX standards for multilingual mappings.

Abstract

Restricted bundle of 32 machine-readable infrastructure files: well-known endpoints (agent.json, ai-plugin.json, ai.txt, ap.json, did.json, llms.txt, mcp.json, openapi.json, security.txt - the standardized discovery files for AI crawlers and agent protocols), agent-protocols (a2a, ag-ui, anp, mcp bridges), SPARQL queries (knowledge-graph query templates), ontology-extensions (additional class/property definitions), terminology-modules (TBX-compliant terminology modules), multilingual mappings. Strict-Wissenschaft, infrastructure code + protocol definitions only.

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Andreas Ehstand (Wed,) studied this question.

www.synapsesocial.com/papers/69fd7e90bfa21ec5bbf06dc2 — DOI: https://doi.org/10.5281/zenodo.20058473

AUGMANITAI BUILD Machine-Readable — Well-Known + Protocols + SPARQL + Ontology-Extensions

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