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Google aims to store all human knowledge

The search giant is building a system that stores information so that machines as well as people can read it

Press Trust of India  |  London 

is building the largest store of information in human history - a knowledge base that autonomously gathers and merges data from across the web to provide unprecedented access to all facts about the world.

The search giant is building Knowledge Vault, a type of knowledge base - a system that stores information so that machines as well as people can read it.



Google's existing knowledge base, called Knowledge Graph, relies on crowdsourcing to expand its information.

However, humans could only take it so far so decided to automate the process.

It started building the Vault by using an algorithm to automatically pull in information from all over the web, using machine learning to turn the raw data into usable pieces of knowledge.

has pulled in 1.6 billion facts to date. Of these, 271 million are rated as "confident facts", to which Google's model ascribes a more than 90 per cent chance of being true, 'New Scientist' reported.

Tom Austin, a technology analyst at Gartner in Boston, said that the world's biggest technology are racing to build similar vaults.

"Google, Microsoft, Facebook, Amazon and IBM are all building them, and they're tackling these enormous problems that we would never even have thought of trying 10 years ago," he said.

researcher Kevin Murphy and his colleagues will present a paper on at the Conference on Knowledge Discovery and Data Mining in New York.

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Google aims to store all human knowledge

The search giant is building a system that stores information so that machines as well as people can read it

Google is building the largest store of information in human history - a knowledge base that autonomously gathers and merges data from across the web to provide unprecedented access to all facts about the world. is building the largest store of information in human history - a knowledge base that autonomously gathers and merges data from across the web to provide unprecedented access to all facts about the world.

The search giant is building Knowledge Vault, a type of knowledge base - a system that stores information so that machines as well as people can read it.

Google's existing knowledge base, called Knowledge Graph, relies on crowdsourcing to expand its information.

However, humans could only take it so far so decided to automate the process.

It started building the Vault by using an algorithm to automatically pull in information from all over the web, using machine learning to turn the raw data into usable pieces of knowledge.

has pulled in 1.6 billion facts to date. Of these, 271 million are rated as "confident facts", to which Google's model ascribes a more than 90 per cent chance of being true, 'New Scientist' reported.

Tom Austin, a technology analyst at Gartner in Boston, said that the world's biggest technology are racing to build similar vaults.

"Google, Microsoft, Facebook, Amazon and IBM are all building them, and they're tackling these enormous problems that we would never even have thought of trying 10 years ago," he said.

researcher Kevin Murphy and his colleagues will present a paper on at the Conference on Knowledge Discovery and Data Mining in New York.
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Business Standard
177 22

Google aims to store all human knowledge

The search giant is building a system that stores information so that machines as well as people can read it

is building the largest store of information in human history - a knowledge base that autonomously gathers and merges data from across the web to provide unprecedented access to all facts about the world.

The search giant is building Knowledge Vault, a type of knowledge base - a system that stores information so that machines as well as people can read it.

Google's existing knowledge base, called Knowledge Graph, relies on crowdsourcing to expand its information.

However, humans could only take it so far so decided to automate the process.

It started building the Vault by using an algorithm to automatically pull in information from all over the web, using machine learning to turn the raw data into usable pieces of knowledge.

has pulled in 1.6 billion facts to date. Of these, 271 million are rated as "confident facts", to which Google's model ascribes a more than 90 per cent chance of being true, 'New Scientist' reported.

Tom Austin, a technology analyst at Gartner in Boston, said that the world's biggest technology are racing to build similar vaults.

"Google, Microsoft, Facebook, Amazon and IBM are all building them, and they're tackling these enormous problems that we would never even have thought of trying 10 years ago," he said.

researcher Kevin Murphy and his colleagues will present a paper on at the Conference on Knowledge Discovery and Data Mining in New York.

image
Business Standard
177 22