Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner ...

Google’s knowledge graph allowed users to search for things, people or places, rather than just matching strings in the search queries with those in Web documents—”things, not strings.” ...

Representation is in every AI solution, and with a good representation that captures knowledge about the business decision, the data and the analytics that deliver answers for decision making, AI ...

Key characteristics of a knowledge graph. ... The ontology is easily "extended and revised as new data arrives" due to its representation in a graphical format.

This is something that holds great promise as a way to get the best of both worlds: Curated, top-down knowledge representation (knowledge graphs), and emergent, bottom-up pattern recognition ...

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 ...

As the knowledge-representation graph continues to grow, linking more entities and establishing their relationships to each other, more connections will be available. And since the algorithms can ...

I have been optimizing sites for search engines since 1998, the year Google was incorporated. In those 25 years, I never saw an update as big as the 2023 E-E-A-T Knowledge Graph update.