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.^[1] 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.^[2]

History

According to Google, the information in the Knowledge Graph is derived from many sources, including the CIA World Factbook, Freebase, and WorldHeritage.^[1] The feature is similar in intent to answer engines such as Ask Jeeves and Wolfram Alpha and efforts such as Linked Data and DBpedia.

As of 2012, 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.^{[3] [4]}

On December 4, 2012, the Knowledge Graph was introduced in seven more languages: Spanish, French, German, Portuguese, Japanese, Russian, and Italian.^[5][6]

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 WorldHeritage.^{[7][8][9][10]}

In August of 2014, Google announced a new initiative, the Knowledge Vault, which derives much of its data from the Knowledge Graph and the sources thereof, as well as harvesting its own data, ranking its reliability and compiling all results into a database of over 1.6 billion facts collected by machine learning algorithms.

Competition

Microsoft Bing's digital assistant, named Satori Knowledge Base, was revealed to the public in mid-2013, but further details were not released. Senior director for Bing Stefan Weitz explained:

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.^[11]

Conversational search

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.^[12] As part of his keynote talk, Singhal stated, "A computer you can talk to? And it will answer everything you ask it?"^[13]

See also

• Semantic integration
• Linked data
• DBpedia

References