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Google enhances search with Knowledge Graph

New search function will aim to present more context and facts around key words

Google enhances search with Knowledge Graph
The Knowledge Graph will give users search results linked more to real world entities than algorithm results.

Google is to enhance its search offerings with the addition of a new function, called the Knowledge Graph.

The Knowledge Graph follows a principle of ‘things not strings', meaning it aims to understand the ‘thing' that a user is searching for, rather than just providing an algorithm-based ‘string' of search results.

The new feature will provide more contextual results, by matching search keywords to real world entities that are held in the Knowledge Graph. A search for ‘Kings' therefore would understand that the user could be looking for information on rulers, or sports teams called ‘the Kings' or TV series with Kings in the title.

Amit Singhal, SVP, Engineering, said in a Google blog post: "We've been working on an intelligent model, in geek-speak, a ‘graph', that understands real-world entities and their relationships to one another: things, not strings."

The Knowledge Graph currently contains more than 500 million objects and 3.5 billion facts about and relationships between these different objects.

The results are tuned based on what other users have searched for and the results they found most pertinent, and results will also be presented as summaries with relevant content for the topic, including common and lesser known key facts around the search.

"The Knowledge Graph enables you to search for things, people or places that Google knows about-landmarks, celebrities, cities, sports teams, buildings, geographical features, movies, celestial objects, works of art and more-and instantly get information that's relevant to your query. This is a critical first step towards building the next generation of search, which taps into the collective intelligence of the web and understands the world a bit more like people do," Singhal said.

The service will be rolled out in the US first, and then to users around the rest of the world.

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