A knowledge graph is typically built on top of the existing databases to link all data together at web-scale combining both structured information (i.e. the list of startups attending our TNW ...

The Graph unveils Hypergraph Developer Preview with encryption, GRC‑20 support, and decentralized data access for private ...

A Knowledge Graph is generally described as being made up of “Entities” but Google tends to refer to entities as “Topics” in its public documentation.

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

You can query your content knowledge graph to identify past content that mentions the topic “COVID-19” and assess the relevance and necessity of each mention before removing it from your content.

The Knowledge Graph is, of course, an organic search element and is closely tied to related elements such as featured snippets and rich results. It is now a common SEO practice to attempt to gain ...

Another core characteristic of a knowledge graph is that it can be queried. If you are representing the knowledge graph using the W3C RDF graph standard, you can query it in SPARQL. If you are using ...

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.

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

For knowledge graph platforms, too, GraphQL is a plus. Both Sarsfield and Grove noted that they expect RDF* to boost knowledge graph adoption.

The July 2023 E-E-A-T Knowledge Graph update is based on expanding, classifying, and identifying E-E-A-T-applicable entities. It is limited to people.