New instances, new nodes, and new relationships can be added. It is also possible to connect different entities and connect the same entity of multiple job function email list graphs (entity alignment), which is similar to the way humans perceive the world. This is also job function email list the advantage of knowledge graphs, which are easy to model and have great flexibility; the organization of structured data and graph structures makes it readable by machines and easy for humans to understand,
Which is very similar to the neurons and memory job function email list systems of the human brain. Like, it is also easier to generate artificial intelligence. 3. What can knowledge graph do The answer to this question is very broad. From the perspective of a knowledge base or database, knowledge graphs can be the basic engineering of any system, and knowledge graphs can job function email list be applied to anything that involves storage, memory, analysis, and intelligence. If you think about it directly, the knowledge graph is first of all a huge database (or knowledge base), millions and billions of data are related to each other,
And things can be more accurately analyzed from more dimensions. For example, the financial knowledge graph can find abnormalities, find out gangs, recommend job function email list target customers, etc. through associations. In the past, these related businesses required structured databases to search, but most industries have a lot of unstructured data, such as tables, texts. , pictures, etc. The knowledge graph can extract information from these unstructured data and job function email list semi-structured data and complete the analysis, which is equivalent to greatly expanding the dimension and breadth of applications. The direct application of this type of data is the graph structure consumption scenario, including graph data search, path analysis, association analysis, graph visualization, etc. The core of which is to quickly search,