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The future of Google Search, though, could be a very different story. In an extensive conversation, Singhal, who has been in the search field for 20 years, outlined a developing vision for search that takes it beyond mere words and into the world of entities, attributes and the relationship between those entities. In other words, Google’s future search engine will not only understand your lake question but know a lake is a body of water and tell you the depth, surface areas, temperatures and even salinities for each lake.
Google now wants to transform words that appear on a page into entities that mean something and have related attributes. It’s what the human brain does naturally, but for computers, it’s known as Artificial Intelligence.
It’s a challenging task, but the work has already begun. Google is “building a huge, in-house understanding of what an entity is and a repository of what entities are in the world and what should you know about those entities,” said Singhal.
is the most common clicked result for a search the same as the best result?
It makes me despair as this continual dumbing down of the internet. Imagine sitting in a classroom at your first maths lesson. The teacher asks what is 2+2 and 75% say 5. So the teacher says ok, from now on i will suggest the answer is 5.
Or perhaps the teacher says, well my best guess is.......
Its like real AI or Fusion Power it is always 10 years away :-)
except this is the direction Google wants to go. One hit answer based on user past actions and authority weighting.
Where in this attempt at AI is the validating process that the answer is actually correct? My point is real AI does not work like this. [...] If i ask a person on the street a question the human intelligence comes from narrowing down an answer and/or source by two way conversation. Even if i just ask for directions i will probably ask some question for my own validation such as, do you live here, have you been there, are you sure.
Even if the stranger was the most geographically knowledgable human on the planet and i asked where is the garage. he/she is not going to say well ok the two times i was asked this before was for a garage 100 miles away so i will go with that answer.
if i ask someone randomly on the street, "wheres the garage?", would you expect the answer to be:
the nearest garage is on third street or you mean the gas station?
fluffery to get the term "knowledge graph" into the same category as Facebook
Abstract. The project on knowledge graph theory was begun in 1982. At the initial stage, the goal was to use graphs to represent knowledge in the form of an expert system. By the end of the 80's expert systems in medical and social science were developed successfully using knowledge graph theory. In the following stage, the goal of the project was broadened to represent natural language by knowledge graphs.