As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker ...

BENGALURU, IN / ACCESS Newswire / July 3, 2026 / Reo.Dev, the world's only intent platform purpose-built for DevTools companies, today announced a major milestone with its Developer Knowledge Graph ...

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...

Abstract: Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be ...

Access Innovations combines decades of expertise in knowledge organization, taxonomy development, and metadata creation with advanced AI techniques to help organizations prepare their content for the ...

Abstract: The paper describes an approach that combines work from three fields with previously separate research commu-nities: social robotics, conversational AI, and graph databases. The aim is to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

Spread the love“`html 1. Introduction to OKF In June 2026, Google made a bold move that went largely unnoticed: the launch of the Open Knowledge Framework (OKF). This new open standard for AI agents ...

Comunica is a community-driven project, sustained by the Comunica Association. If you are using Comunica, becoming a sponsor or member is a way to make Comunica sustainable in the long-term.

Google formalizes the "LLM Wiki" pattern with the Open Knowledge Format as an open standard for AI knowledge. Google Cloud has introduced Open Knowledge Format (OKF), an open specification designed to ...

This repository for the paper 📘: A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. The README file here maintains a list of ...