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.
According to Google, the information in the Knowledge Graph is derived from many sources, including the CIA World Factbook, Freebase, and Wikipedia. The feature is similar in intent to answer engines such as Ask Jeeves and Wolfram Alpha.
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.
We have had internal debates about when to ship something. We could come out with something now like them, but it wouldn't be state of the art. It's too constrained to be an agent now. We are not shipping until we have something more revolutionary than evolutionary.
An experiment by Dr Peter Meyers, who was working for the Moz company at the time, noted a major Google update on July 19, 2013. Meyers wrote in an August Moz Blog post: "Overnight, the number of queries we track in the MozCast 10K beta system that show some kind of Knowledge Graph jumped from 17.8% to 26.7%, an increase of over 50%." Further research by Andrew Isidoro identified Freebase as an apparent central collection point for Resource Description Framework (RDF) data that fuels the Knowledge Graph by creating a repository of third-party data which can be queried.
According to some news websites, the implementation of Google's Knowledge Graph has played a role in the page view decline of various language versions of Wikipedia, an Internet encyclopedia.
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 stated, "A computer you can talk to? And it will answer everything you ask it? Little did I know, I would grow up to become the person responsible for building my dream for the entire world." Conversational search technology was then featured and Singhal introduced the term "hot-wording" to describe search without the need for an interface, whereby the user simply prompts the Google search engine by stating, "OK Google."
The I/O audience was then shown a demonstration in which a user asked a question about Santa Cruz and the search engine answered back in "conversation," in addition to the presentation of results for the query. Google's Johanna Wright explained that the search engine uses data from the Knowledge Graph to produce results: "The Knowledge Graph knows that Santa Cruz is a place, and that this list of places are related to Santa Cruz".
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- Isidoro, Andrew (February 28, 2013). "Google’s Knowledge Graph: one step closer to the semantic web?". Econsultancy. Retrieved April 17, 2013.
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- Brown, Aaron (December 12, 2012). "Get smarter answers from the Knowledge Graph from Português to 日本語 to русский". Inside Search (Google).
- Meyers, Peter (August 21, 2013). "The Day the Knowledge Graph Exploded (+50.4%)". Moz. Retrieved December 20, 2013.
- Isidoro, Andrew (December 19, 2013). "I Am an Entity: Hacking the Knowledge Graph". Moz. Retrieved December 20, 2013.
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- Official website
- Why Google Carousel is Important to Local Business at Web-matic 24/7. Matthew Johnson (with audio)
- How the Knowledge Graph Affects Organic SEO at Return on Now.