Knowledge Graph ( Russian: Knowledge Network ; literally, Knowledge Graph ) is a semantic technology and knowledge base used by Google to improve the quality of its search engine with semantic-search information collected from various sources. The knowledge graph was added to the Google search engine in 2012, first in the USA , which was announced on May 16, 2012 [1] . The knowledge graph provides structured and detailed information about a topic in addition to a list of links to other sites . The goal is that users can use this information to solve their queries without having to go to other sites and collect information on their own [2] [3] .
According to Google, the Knowledge Graph knowledge base has been compiled from many sources, including the CIA World Factbook , Freebase, and Wikipedia . In terms of features, the Knowledge Graph is similar to search engines that provide answers such as Ask Jeeves , Wolfram Alpha , Linked data, and DBpedia . Since 2012, the semantic network contains more than 570 million objects and more than 18 billion facts and the relationships between these various objects, which are used to understand the meaning of the request.
Links
- “Google Maps” integrates with “Knowledge Graph” // cy-pr.com, May 16, 2014
See also
- Object answer
Notes
- ↑ Singhal, Amit. Introducing the Knowledge Graph: Things, Not Strings . Official Blog (of Google ) (May 16, 2012). Date of treatment May 18, 2012.
- ↑ "Google To Unveil Search Results Overhaul." Financial times. Retrieved May 16, 2012 (inaccessible link)
- ↑ Google Knowledge Network . Chip Magazine 7/2013, pp. 24-27