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: https://github.com/faia-framework/w3id.docs/tree/main/faia_ont

FAIA vocabulary: https://github.com/faia-framework/w3id.docs/tree/main/faia_vocab

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.