Blue Yonder also announced a collaboration with Snowflake, the AI Data Cloud company, and RelationalAI to enhance its Cognitive Solutions with a supply chain knowledge graph.

This context provided by the knowledge graph allows Blue Yonder to understand the relationship between sourcing and supply, or consumption of raw materials and the finished product. This ‘knowledge’ ...

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data.

Bacteria dominate the ecosphere through their varied metabolic pathways. Genomic data now serve as a common start point for studying bacterial metabolism, yet current capacity to predict and compare ...

Temporal Knowledge Graph Completion (TKGC) aims to predict missing parts of quadruples, which is crucial for real-life knowledge graphs. Compared with methods that only use graph neural networks, the ...

Large-scale language models (LLMs) trained on extensive text corpora contain rich biological information and can be leveraged as a biological knowledge graph for pathway curation.

LayoutKG: the knowledge about the layout of the documents, like title, subtitle, section, etc. SemanticKG: the knowledge about the content of the documents, like entities, relations, etc. We provide a ...

Learn how Google is rapidly building its Knowledge Vault and why establishing a strong, E-E-A-T-backed presence is crucial for SEO success.