There is some buzz about the future of search, mainly has to
do with Google Knowledge Graph and Star Trek computer (super geeky, I know).
What does it mean? The
Knowledge Graph is all about intent, attempting to return results based on the
meaning of what you search for instead of just literal keyword matches.
It is an important transition from strings to things, from
examining keywords to meaning, in other words semantic search; search that
takes it beyond mere words and into the world of entities, attributes and the
relationship between those entities, such as people, places, sites, sports teams,
movies, and more.
For example if you search for Lebron James, Google knows it
is a person, not just any person, an NBA player, and gives you back images, a
bio, date of birth, height, salary (wow), partner, etc. and related searches
that naturally revel top NBA players. So
now the term “Lebron James” refers to an entity rather than keywords.
Now if you think of equations as things, what follow is a scientific
knowledge graph of equations, theorems, research topics and more and the
connections between these objects. But
is it really a separate graph? No, there
should be no silos; after all it is connected by people, places, by
things.
Why is this so important?
To be able to ask any question (even questions we don’t know how to ask)
and get answers, to learn new facts, make predictions, new discoveries. This is the true sense of science unleashed.
Symbolab is building for the future!
Cheers,
Michal
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