For simple user queries, a search engine can reliably find the correct content using keyword matching alone. A “red toaster” query pulls up all of the products with “toaster” in the title or ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

The average Fortune 500 company in 2018 has well in excess of 1000 database servers, with tens of thousands of actual databases within those servers. Those same companies have untold thousands of ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...

The increased use of language understanding in search engines has prioritized writing content that is organized by topics and subtopics and communicates the message in a way that lacks ambiguity.

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

In artificial intelligence, “semantics” refers to a machine’s ability to smartly segment information similar to how a human would. Different branches of machine learning may have different uses for ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...