Knowledge graph

A knowledge graph is a knowledge base that uses a graph-structured data model. Knowledge Graph may also refer to: * Knowledge Graph (Google), a knowledge graph that powers the Google search engine and other services * Bing Knowledge Graph or Satori, used by the Bing search engine * LinkedIn Knowledge Graph (LKG), a knowledge base for LinkedIn

In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities objects, events, situations or abstract concepts while also encoding the free-form semantics or relationships underlying these entities. Since the development of the Semantic Web, knowledge graphs have often been associated with linked open data projects, focusing on the connections between concepts and entities. They are also historically associated with and used by search engines such as Google, Bing, and Yahoo; knowledge engines and question-answering services such as WolframAlpha, Apple's Siri, and Amazon Alexa; and social networks such as LinkedIn and Facebook. Recent developments in data science and machine learning, particularly in graph neural networks, representation learning, and machine learning, have broadened the scope of knowledge graphs beyond their traditional use in search engines and recommender systems. They are increasingly used in scientific research, with notable applications in fields such as genomics, proteomics, and systems biology. ==External links==

Text derived from https://en.wikipedia.org/w/index.php?oldid=1299849488 under CC BY-SA 4.0; modifications have been made.