Google's search engine is powerful, but not all-knowing. Every month Google processes 100 billion queries, and typically returns results with microsecond speed. However, on a fairly regular basis, Google's search engine has to think a bit harder to render a result. On a daily basis, 15 percent of queries submitted -- 500 million -- have never been seen before by Google's search engine, and that has continued for the nearly 15 years the company has existed, according to John Wiley, the lead designer for Google Search.
"We have to solve that problem," an understated Wiley said in an interview with Bloomberg TV. In the process of trying to know more and reduce the 15 percent of new, previously unread or unheard queries, Google crawls 20 billion Web sites per day in search of new data that it can turn into results.
A key part of Google's quest to reduce the percentage of unseen queries, and provide answers rather than lists of links, is the Knowledge Graph. It's a vast database that understand entities -- such as topics, people, and events -- and the connections among them, somewhat like the human brain. Knowledge Graph has more than 570 million entities and 18 billion facts about connections between them, by Google's count.