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