Knowledge Graph

The Knowledge Graph is a knowledge base used by Google to enhance its search engine's search results with semantic-search information gathered from a wide variety of sources. Knowledge Graph display was added to Google's search engine in 2012, starting in the United States, having been announced on May 16, 2012. It provides structured and detailed information about the topic in addition to a list of links to other sites. The goal is that users would be able to use this information to resolve their query without having to navigate to other sites and assemble the information themselves. The short summary provided in the knowledge graph is often used as a spoken answer in Google Now searches.

According to some news websites, the implementation of Google's Knowledge Graph has played a role in the page view decline of various language . As of the end of 2016, knowledge graph holds over 70 billion facts.

According to Google, the information in the Knowledge Graph is derived from many sources, including the CIA World Factbook, , and . The feature is similar in intent to answer engines such as Wolfram Alpha and efforts such as Linked Data and DBpedia. As of 2012^[update], its semantic network contained over 570 million objects and more than 18 billion facts about and relationships between different objects that are used to understand the meaning of the keywords entered for the search.

On December 4, 2012, the Knowledge Graph was introduced in seven more languages: Spanish, French, German, Portuguese, Japanese, Russian, and Italian. During the Google I/O conference in May 2013, Google's Amit Singhal presented on the future of search, explaining that a search engine's three primary functions will need to evolve and that search will need to: 1. Answer, 2. Converse, and 3. Anticipate. As part of his keynote talk Singhal asked: "A computer you can talk to? And it will answer everything you ask it?"

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