Google’s Knowledge Graph – the tool that knows what you want

Google’s massive web search engine is seeking to move towards creating a greater understanding of what the user is looking for in online web searches and reasoning like a person as it learns from the web. With the indexing of the web mainly done, the next task is to understand the content on this massive repository we all use.   So, after building up trillions of words, Google is now trying to connect them in ways similar to the human brain, to help Google work out what we want to know and deliver a device that can handle tasks and subtasks that we will end up using in every day life as it creates a view of the world.

This new tool, called ‘Now on Tap’, will appear on the new version of Android OS when released.  In a bid to understand the context of what you may need to know, Now on Tap is seeking to apply meaning to the collection of words on the web and make them all interconnecting and thus create the ‘Knowledge Graph’ to represent the world in a useful way.

Another, far smaller company, Diffbot nearby in Silicon Valley is doing the same thing, though on a smaller scale.  Founder Mike Tung is a former student of Stanford, having studyied AI.  His company data feeds into several online search engines including Microsoft’s Bing search engine.  Diffbot reads 2,500 web pages per second and categorises their content.  Diffbot’s Knowledge Graph is only 60% size of Google with around 600 million objects, however Mike Tung is not shy about the company’s ambitions:  “Our long term goal is to build a machine that can read one trillion objects.  This would be the leaping point for human level intelligence”.

All of this is some time away from commercial realisation, however whilst again demonstrating exciting advances in technology and innovation, alongside all this good stuff, there remains the nagging issue of security.   Google has a less than strong record in data security, so the development of a new architecture and connectivity through the Internet of Things has to run in conjunction with tighter security measures and data controls if Google and others are to afford assurance to users that the data searches they are seeking and storing remain personal and approved.

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