To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

The knowledge graph is the only currently implementable and sustainable way for businesses to move to the higher level of integration needed to make data truly useful for a business.

Knowledge graph-based recommender systems are able to help solve these challenges to an extent. In this approach, user and item entities are connected through multiple relationships.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the ...

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

Since 2012, the Knowledge Graph has been Google’s semantic database, in which the world’s knowledge about entities (nodes) and their relationships to one another (edges) is recorded and ...