> For the complete documentation index, see [llms.txt](https://faia.liccium.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://faia.liccium.com/technology/semantic-resources.md). # Semantic Resources FAIA publishes its core semantic resources as open, machine-readable assets for interoperable AI attribution across media types, platforms, and technical systems. ## Ontology and vocabulary The FAIA ontology defines the properties used to describe AI involvement in a declaration: the FAIA flag, the activity code, the system attribution, and the system version. It imports the Liccium ontology for the underlying Declaration class. The FAIA vocabulary defines the controlled terms used in declarations, modelled as SKOS concepts. It covers three layers: the three FAIA flags (HCC, AAC, AIG), six generic activity codes, and eight STM-specific activity codes for academic manuscript preparation. ## FAIR by design The framework follows the FAIR principles of Findability, Accessibility, Interoperability, and Reusability, and was developed in collaboration with the GO FAIR Foundation. The ontology and vocabulary are published in Turtle through persistent w3id.org identifiers, so terms resolve to stable definitions independently of any single platform. ## Resources FAIA ontology: FAIA vocabulary: ## Implementation independence FAIA defines a common semantic model without prescribing a specific implementation. The ontology and vocabulary can be used in publishing systems, repositories, registries, provenance frameworks, and verification services. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://faia.liccium.com/technology/semantic-resources.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.