Official definition: Knowledge graph is a graph-based data structure composed of nodes (points) and edges (Edges), each node represents an "entity", and each edge is a "relationship" between entities and entities, knowledge Graphs are essentially semantic networks. Entities can refer to things in the real world, such as people, place names, companies, telephones, animals, etc.; relationships are used to express a certain connection between different entities. From the above picture, we can see that entities have place names and people; Dali belongs to Yunnan, Xiaoming lives in Dali, Xiaoming and Xiaoqin are friends, these are the relationship between entities.
Popular definition: Knowledge phone number list graph is a relational network obtained by connecting all different kinds of information, so knowledge graph provides the ability to analyze problems from the perspective of "relationship". 2. Visual performance If we search for "Jay Chou's wife" on Baidu, the search result is not Jay Chou, but directly returns Kun Ling's information card, why? Because the underlying knowledge graph already has a relationship between Jay Chou and Kun Ling, it is understandable that you are looking for Kun Ling, not Jay Chou, which also shows that the knowledge graph has the ability to understand user intent.
02 Key Technologies for Knowledge Graph Construction In the process of building a knowledge graph, the most important step is to extract data from different data sources, and then add it to the knowledge graph according to certain rules. This process is called knowledge extraction . There are two types of data sources: structured data and unstructured data. Structured data is easier to deal with, but the difficulty lies in dealing with unstructured data. The processing of unstructured data usually requires the use of natural language processing techniques: entity name recognition, relation extraction, entity unification, metaphor resolution, etc. Let's first look at the results expressed by turning this text into a knowledge map.