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"We are at the beginning of a transformation that will take us from a search engine to a knowledge engine." Google's product manager, summed it that way to present the new Google baby: Knowledge Graph.

Knowledge Graph is a first step towards the dream of Web inventor Tim Berners-Lee: the emergence of a "semantic web" which would connect not just pages of documents by links, but also concepts, ideas and facts.

 This new feature will be launched gradually in coming days, in the English version of the site.

  Google provides its users with a database that goes in that direction. It contains about 500 million objects and 3.5 billion of facts, links between these objects. The system knows such as Pierre-Auguste Renoir was an impressionist, that was born in Limoges on February 25, 1841. The database is able to compare him with other painters from the same school and to identify his work. In other words, it links information that are typically isolated. The system will be able to answer questions in natural language ("What is the tallest building on earth" for example) but this is far from being complete.

For Google, this is just the beginning: "It is an essential first step to build the next generation of Internet search, which exploits the collective intelligence of Web and understands the world like the people". According to Google, this new feature improves its service:

  • First, Knowledge Graph avoids the problems of homonymy, offering search refinement in case of doubt; 
  • Second, it summarizes the most important facts related to research, to obtain as quickly as possible good result ...
  • Finally, Knowledge Graph provides more serendipity in research, deepening, thanks to a function specifying associated queries performed by other users.

 The future of mobile?

This new feature appears in a new column when doing a search. It is already possible to try it, by following the link test from this page.

In practice, combining a mixture of Wikipedia and Wolfram Alpha, the search engine that drives the particular vocal assistant Siri, may enhance Knowledge Graph usage in research on mobile, because this could serve as the basis for a future assistant close to that of Apple that would be queried in natural language and answered as well...

Sematic web in Enterprise

Information is currently distributed through structured and unstructured data through databases and documents for easy reuse. Organizing data is about establishing standards, including RDF graph model (Resource Description Framework), and concepts such as URIs (Uniform Resource Identifier) ​​is reused to provide data unique identifiers.

Accessing data at enterprise level mainly seek to aggregate data from various internal databases or providing easier access to different types of content. In the automotive sector for example, the variety of models, their features and available options leads to 1020 different configurations. It is merley impossible to list them all. To successfully manage the constraints and all possible choices that coyld be offered to users, websites are organiazed such a way to propose a step by step configuration process. Currently, the search for a product that is not completely defined is simply impossible. This must relies on a configuration engine and on the use of vocabulary of relations between concepts in each step of the configuration process. This is the promise of the semantic web.

 
 
In one short sentence: "We are at the beginning of a transformation that will take us a motor to a motor information to know. "Johanna Wright, product manager at Google, summed it wishes to make the search giant with her new baby, Knowledge Graph.
This new feature, which was presented before yesterday by the search giant, will be launched gradually in coming days, the English version of the site initially.
Knowledge Graph is a first step towards the dream of Web inventor Tim Berners-Lee: the emergence of a "semantic web" which would connect not just pages of documents by links, but also concepts, ideas, facts.
Google provides its users with a database that goes in that direction. It contains about 500 million objects and 3.5 billion of facts, links between these objects.
The system knows such as Pierre-Auguste Renoir was an impressionist, was born in Limoges February 25, 1841. The database is able to compare him with other painters from the same school and to identify his work. In short, the link information that are typically isolated.

Note that the system is also able to answer certain questions in natural language ("What is the tallest building on earth" or "wife of Barack Obama" for example) but it is far from complete and the coup frustrating.
For Google, this is just the beginning: "It is an essential first step to build the next generation of Internet search, which exploits the collective intelligence of Web and understands the world like the people" wrote Amit Singhal, vice president of Google, the blog of the company.
According to Google, this new feature improves tripling its service: First, Knowledge Graph avoids the problems of homonymy, offering you to refine your search in case of doubt.
Second, this module summarizes the most important facts related to research, to obtain as quickly as possible good result ... Finally, Knowledge Graph provides more serendipity in research, deepening, thanks to a function specifying queries Associated performed by other users.
Future mobile?
Enabling this new feature is automatic, it appears in a new column when doing a search. It is already possible to try it, by following the link test from this page.
In practice, we think of a mixture of Wikipedia (from which some of these data) and Wolfram Alpha, the search engine that drives the particular vocal assistant Siri ... While not go so far in the approximation, the combination data.
In this regard, we imagine, moreover, that Knowledge Graph will be more interest in research on mobile, because this new module could well serve as the basis for a future assistant close to that of Apple, we would query language natural for answers ...
Nouveau ! Cliquez sur les mots ci-dessus pour apporter des modifications et voir d'autres traductions. Ignorer
In one short sentence: "We are at the beginning of a transformation that will take us a motor to a motor information to know. "Johanna Wright, product manager at Google, summed it wishes to make the search giant with her new baby, Knowledge Graph.
This new feature, which was presented before yesterday by the search giant, will be launched gradually in coming days, the English version of the site initially.
Knowledge Graph is a first step towards the dream of Web inventor Tim Berners-Lee: the emergence of a "semantic web" which would connect not just pages of documents by links, but also concepts, ideas, facts.
Google provides its users with a database that goes in that direction. It contains about 500 million objects and 3.5 billion of facts, links between these objects.
The system knows such as Pierre-Auguste Renoir was an impressionist, was born in Limoges February 25, 1841. The database is able to compare him with other painters from the same school and to identify his work. In short, the link information that are typically isolated.

Note that the system is also able to answer certain questions in natural language ("What is the tallest building on earth" or "wife of Barack Obama" for example) but it is far from complete and the coup frustrating.
For Google, this is just the beginning: "It is an essential first step to build the next generation of Internet search, which exploits the collective intelligence of Web and understands the world like the people" wrote Amit Singhal, vice president of Google, the blog of the company.
According to Google, this new feature improves tripling its service: First, Knowledge Graph avoids the problems of homonymy, offering you to refine your search in case of doubt.
Second, this module summarizes the most important facts related to research, to obtain as quickly as possible good result ... Finally, Knowledge Graph provides more serendipity in research, deepening, thanks to a function specifying queries Associated performed by other users.
Future mobile?
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