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 ...

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 ...

The "semantic Web" is hugely important to tomorrow's business. Do not underestimate its significance: It truly changes everything. Embrace it, or risk extinction. But what is it? And what does it mean ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

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.

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 ...

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 ...