Hear our very own Marsal Gavaldà describe the exciting ways people will benefit from knowledge graphs in the near future.
Many people want to know how they will benefit from the knowledge graph. What's exciting is that the knowledge graph makes computers much smarter at understanding language, so users will benefit in many ways. Being able to access a growing and up-to-date knowledge graph makes applications such as search engines or our own MindMeld assistant be much more intelligent. For example, they can disambiguate words that can have multiple interpretations, like "apple" (company vs. fruit), or "giants" (the New York Giants football team versus the San Francisco Giants baseball team), or even the example I gave before about "a green book:" given the right context it can be understood to refer to the segregation-era travel guide for African-Americans or the passport for exiled Tibetans.
In fact, even classic examples of ambiguity from linguistics like "I see the man on the hill with the telescope" can be disambiguated if, for example, MindMeld has access to my Amazon order history and realizes that I recently purchased a telescope. And the knowledge graph not only helps with disambiguation but it also makes it easier for systems like MindMeld to extract and summarize the key facts of a conversation and to proactively make intelligent suggestions and show relevant information. So basically the knowledge graph gets computers much closer to really understanding what we mean.