Knowledge Graph Turns Google Search Into Encyclopedia

Google announced the launch of Knowledge Graph, an enhancement to Google Search.  Google will analyze your query and display information that are relevant to what you searched for.  Google claims that its database contains more than 500 million objects and more than 3.5 billion facts about and relationships between these different objects.  This function is currently available to Google.com US English users only, it will also be available to smartphones and tablets later.

So what does Google Knowledge Graph offer?  For example, if you search for “Taj Mahal”, Google brings out both information about the monument and the musician.  No matter what you are searching for you don’t miss relevant info.

Google Knowledge Graph Sample - taj mahal

Besides, you get a summary of the entity you are searching for.  Without having to go into the result pages, you get an overview of information.

Google Knowledge Graph Sample - marie curie

Google will even go deeper to explore the relationship of the search query with other objects.  For example, if you search for somebody’s name, his parent’s and sibling’s names would appear.

Google Knowledge Graph Sample - matt groening

The knowledge graph occupies the right hand side of the results page so it does not affect the original search results.  My first impression is that Google puts up a mini encyclopedia right on the results page.  It is most useful when you search for hard facts about a place, a celebrity, an object, etc. because you’ll no longer need to click the Wikipedia page on the results page.

 

Image and info source: Google Official Blog

Google gets improved auto-complete prediction

Enhanced Google Search Auto-complete

(Source: Official Google Blog)

Google released a better prediction mechanism for Google search today, using only part of the phrase users entered to suggest words for auto-completion.

In the past, Google compares what you entered with the most searched phrases, but only the whole phrase is used for comparison.  So, if you are entering a rarely searched phrase, probably Google cannot give you a suggestion for auto-completion.  Now, Google looks at the last part of what you entered to give you a prediction.  Let’s have a look at the example given by Google:

While few people have searched for [florida state senate building], many more have searched for [state senate building]. By looking at just the last part of what you’ve typed into the box, in this case “state senate bui,” we can generate a prediction for “building.” You’ll see a dropdown box below the end of your search with predictions for just that word.

via Official Google Blog

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