I saw when I was looking up the information, I think it is very appropriate, and I apply it here: The value of knowledge to artificial intelligence lies in giving machines the ability job function email list to recognize and understand. The essence of the process of building a knowledge job function email list graph is to allow machines to develop cognitive capabilities and understand the world. This article mainly wants to show the What, Why and How of the knowledge graph from the perspective of the product, that is,

What the knowledge graph is (definition and job function email list composition, composition elements and organizational rules), and the value of the knowledge graph (what application scenarios are there, and what is the effect of the application) And how to build a knowledge graph (technical processes and key technologies of each process). 2. What is Knowledge Graph At present, there is no relatively unified definition of knowledge graph in the academic world. Teacher Zhao Jun's "Knowledge Graph" has made the following definitions: Knowledge graph is a more general formal job function email list description framework for semantic knowledge.

Nodes are used to represent semantic symbols, and edges are used to represent semantic relationships between symbols. Or to be more popular, knowledge job function email list graph is a technical method for describing knowledge and modeling the relationship between job function email list all things in the world with a graph model. My personal understanding of knowledge graph is as follows: The basic elements of knowledge graph are graph nodes and edges. From life experience, a graph node can be an instance and an entity, such as building materials, cement, and so on. The edges between nodes represent the relationship