How the semantic web revolution is starting from a blog post

By Andrea Volpini, WordLift

Search engines are evolving. They went from simple keyword matching to natural language processing. Those search engines got better at interpreting long tail queries. Yet they are still error-prone. Let’s put this into context: Google itself claimed that it started to use machine learning to cope with the 15 percent of searches done by users, on a daily basis, that have never been seen before. These are roughly 500 million new searches every day where Google doesn’t have a clue.

Semantic web is making those computational search engines taking a giant leap forward in three ways. Continue reading


How Artificial Intelligence is changing web writing

By Gennaro Cuofano,  WordLift

When Larry Page and Sergey Brin invented PageRank back in 1996, they had one simple idea in mind: Organize the web based on “link popularity.”

In short, in the universe of pages existing in a (at the time almost) shapeless web, Page and Brin wanted to organize that information to make it become knowledge. The logic was pretty simple, yet extremely powerful. First, if a page was connected to multiple pages, which in turn linked back to it, that page improved in relevance. Also if a page had less links from other pages, yet those pages
were more important, then it also improved the ranking of the linked page.
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