The AI landscape is dense, chaotic, and evolving exponentially. In this context, terms, concepts, and initiatives overlap and are frequently ambiguous, making it more difficult to build the shared understanding necessary to achieve interoperability and trust in agentic systems.The AI Knowledge Representation Community Group (AI KR CG) seeks to reduce the gaps in shared concepts and semantics. It monitors the evolution of AI across multiple dimensions — identifying, mapping, and analysing the primitives emerging from research and related standardization efforts. Using canonical knowledge-representation techniques, the AI KR CG builds shared, explicit representations — categories, taxonomies, and vocabularies — that support alignment, consistency, and model integrity across disparate initiatives, giving stakeholders common terms of reference for a fast-moving field.Through work on taxonomies, vocabularies, a standards inventory, gap analysis, and more, the Community Group hopes to help individuals and organisations stay up to date with developments in the field and achieve a deeper understanding of the ongoing evolution of the agentic-AI landscape
This repository holds shared notes and memos aimed at informing AI KR CG participants about the state of the art, through the representation and definition of key terms and concepts in the fast-moving agentic-AI landscape.
The content of these files is open for discussion, evaluation, and refinement. Because the space is emergent and the work is iterative, some of the older files may contain duplicate, missing, or redundant information that has since been merged into the newer files below. Nothing here is a W3C Standard or on the W3C Standards Track.
Participants are welcome to contact the chair, discuss via the public mailing list, or suggest how to develop these resources further.
Three linked working drafts form the current spine of the group’s agentic-AI work. They share one structure — eight knowledge domains — and are the documents most in need of your review and contribution. All are working drafts, provisional and open for review.
Earlier and supporting notes. Several of these fed into the three core resources above; some information they contain has since been merged or superseded. Retained for reference and history.