Google Knowledge Graph: Revamped Search Results Provide Users Better Information

  • 76
  • 1.1K
Google Knowledge Graph: Revamped Search Results Provide Users Better Information

Knowledge Graph SERP

Although Google has already done an impressive job indexing the web and using algorithmic processes to serve users relevant results, they have been concentrating on developing a graph of semantic information and incorporating that information within the search results. Yesterday, Google officially announced the Knowledge Graph and began rolling out the new features for Google users.

The Knowledge Graph, which is based primarily on semantic intelligence, includes reliable information sources like Wikipedia, Freebase, and the CIA World Factbook. However, the comprehensive nature of the “graph” requires that Google use a large cross-section of the web including many lesser-known sites. The Knowledge Graph currently contains over 500 million entities and has over 3.5 billion facts regarding relationships between entities.

Amit Singhal, who is a highly-accomplished Google Engineer and Google Fellow, posted the following statement regarding how the Knowledge Graph will change search on the official Google Search blog:


In Singhal’s post, he emphasized that the Knowledge Graph will help Google users:

Find the right thing
When a Google user enters a query that has multiple meanings, the Knowledge Graph understands the nuances of the words and Google will display the information that the user is most likely searching for. In addition, there are quick navigation options to the alternate meanings of the query.

Get the best summary
Since the Knowledge Graph provides Google with a better understanding of your query, Google can now summarize facts related to the query and display those facts on the search engine results page.

Go deeper and broader
The Knowledge Graph has an impressive database of relationships between entities and Google can leverage this information to help users dig deeper into topics. Due to a combination of historical data related to how other users search and the semantic understanding of the query, Google can anticipate what a user wants to learn more about.

Google has previously said that they believe the Knowledge Graph is central to the “next generation of search” and they feel that search should better reflect how humans understand the world. The new Knowledge Graph features, which are already live for many U.S. users, are a big step towards this goal.

Sources Include: Official Google Blog

David Angotti

David Angotti
