SUBJECT : Google is building the largest store of information in human history - a knowledge base that autonomously collects and merges data from across the web to provide unprecedented access to all the facts about the world.
The search giant is building knowledge Vault, a type of knowledge base - a system that stores information for machines and people can read it. Existing knowledge base of Google, called Graphic Knowledge is based on crowd sourcing to expand its information. However, human beings could only carry so far so Google decided to automate the process.
Existing knowledge base of Google, called Knowledge Graph is based on crowd sourcing to expand its information, Deccan Chronicle reported.
However, Human beings could only carry so far so Google decided to automate the process.
Vault construction was started using an algorithm to automatically extract information from across the web, the use of machine learning for converting raw data into usable knowledge pieces.
Knowledge Vault has pulled in 1.6 billion of the facts to date. Of these, 271 million are classified as "facts confidence", to which the Google model attributes a probability of more than 90 percent from certain, the New Scientist reported.
Tom Austin, an analyst at Gartner Technology in Boston, said the world's largest IT companies are competing to build similar vaults. Google, Amazon, Facebook, Microsoft and IBM are building, and they are against these huge problems that we would have never even thought about trying for 10 years, said. Google researcher Kevin Murphy and colleagues presented a paper on Knowledge Vault Conference on Knowledge Discovery and Data Mining in New York.
The search giant is building knowledge Vault, a type of knowledge base - a system that stores information for machines and people can read it. Existing knowledge base of Google, called Graphic Knowledge is based on crowd sourcing to expand its information. However, human beings could only carry so far so Google decided to automate the process.
Existing knowledge base of Google, called Knowledge Graph is based on crowd sourcing to expand its information, Deccan Chronicle reported.
However, Human beings could only carry so far so Google decided to automate the process.
Vault construction was started using an algorithm to automatically extract information from across the web, the use of machine learning for converting raw data into usable knowledge pieces.
Knowledge Vault has pulled in 1.6 billion of the facts to date. Of these, 271 million are classified as "facts confidence", to which the Google model attributes a probability of more than 90 percent from certain, the New Scientist reported.
Tom Austin, an analyst at Gartner Technology in Boston, said the world's largest IT companies are competing to build similar vaults. Google, Amazon, Facebook, Microsoft and IBM are building, and they are against these huge problems that we would have never even thought about trying for 10 years, said. Google researcher Kevin Murphy and colleagues presented a paper on Knowledge Vault Conference on Knowledge Discovery and Data Mining in New York.
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