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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 ...
This page was last edited on 19 August 2023, at 22:34 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...
In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning.
Google announced its Knowledge Graph on May 16, 2012, as a way to significantly enhance the value of information returned by Google searches. [7] Initially available only in English, it was expanded in December 2012 to Spanish, French, German, Portuguese, Japanese, Russian and Italian. [12] Bengali support was added in March 2017. [13]
A knowledge graph is a knowledge base that uses a graph-structured data model. Common applications are for gathering lightly-structured associations between topic-specific knowledge in a range of disciplines, which each have their own more detailed data shapes and schemas .
A knowledge graph is a knowledge base that uses a graph-structured data model. Knowledge Graph may also refer to: Google Knowledge Graph, 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
A cyclical dependency graph. A rule is an expression of the form n :− a 1, ..., a n where: . a 1, ..., a n are the atoms of the body,; n is the atom of the head.; A rule allows to infer new knowledge starting from the variables that are in the body: when all the variables in the body of a rule are successfully assigned, the rule is activated and it results in the derivation of the head ...
Wikidata is a collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation. [2] It is a common source of open data that Wikimedia projects such as Wikipedia, [3] [4] and anyone else, is able to use under the CC0 public domain license.