AI KR (Artificial Intelligence Knowledge Representation) Community Group

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.

Homepage

Homepage/Blog

Shortname

aikr

Participation

Leadership

Chairs

• Paola Di Maio

Links

 Mailing List

public-aikr