Billions of entities vanished from Google’s Knowledge Graph in June 2025. Here’s how it signals a bold new direction in ...

Building a knowledge graph is a task that has been done for a long time with NLP techniques. However LLMs facilitate the creation of such graphs thanks to their capacity to process text.

Those elements consist of knowledge, skills, abilities, tasks, workforce characteristics, licensing, and education. So that was the basis for our Neo4j graph database.

Enter knowledge-graph-powered data intelligence platforms with metadata management capabilities. Google popularized the term "knowledge graph" in this 2012 blog post.

A knowledge graph is like that car’s navigation system, providing context, meaning, and direction on top of those connections.” The bottom line is that “graph databases are a type of NoSQL database ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

The Tree of Knowledge is a meta-physical and meta-psychological system in the sense that it provides a conceptual map that defines the key aspects of the universe and defines how concepts like ...

Content is parsed using a combination of NLP and ML, the result of which is structured knowledge which is added to Diffbot's knowledge graph (DKG). Tung showcased an example based on Marissa Mayer ...