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  • Knowledge graph

       2026-04-15 NetworkingName920
    Key Point:Knowledge mapping (knowledge graph) is a graphical structure used to organize and express knowledge that builds on relationships between entities (e. G., people, locations, events, etc.) and entities to form a large, structured knowledge base。The knowledge map is designed to capture and express the semantic relationship of the world in a computer-readable way, enabling computers to understand and reason knowledge。The following are s

    Knowledge mapping (knowledge graph) is a graphical structure used to organize and express knowledge that builds on relationships between entities (e. G., people, locations, events, etc.) and entities to form a large, structured knowledge base。

    Google knowledge mapping network

    The knowledge map is designed to capture and express the semantic relationship of the world in a computer-readable way, enabling computers to understand and reason knowledge。

    The following are some of the key elements of the knowledge map:

    Entities: entities in the knowledge map express specific objects or abstract concepts of the real world, such as persons, locations, companies, products, etc. Each entity has a unique identifier and associated attributes。

    2. Properties: properties describe the characteristics, nature or other relevant information of the entity. For example, a character entity may have attributes such as name, age, nationality, etc。

    3. Relationships: relationships describe interactions and modes of connection between entities. For example, "john is an employee of company a" here, the relationship between "john" and "company a" can be described as an "employee" relationship。

    Triple: the basic units in the knowledge map are triple, consisting of the subject (subject), the term (predicate) and the object (object). It expresses an entity relationship, such as "john" - "staff" - "company a"。

    5. Grid structure (graph structure): knowledge is organized in the form of maps, and entities and relationships are expressed in the form of nodes and sides, forming a network with extended structures。

    Google knowledge mapping network

    Knowledge mapping is widely used. It can be used to build intelligent search engines, providing more accurate and accurate search results; in smart assistants, helping to understand user intentions and providing more accurate answers; in natural language processing, using semantic understanding and question-and-answer systems; in referral systems, helping to personalize recommendations about relevant content。

    Google knowledge mapping (google knowledge graph) and 100 degrees of encyclopedia mapping (baidu encyclopedia knowledge graph) are among the success stories of knowledge mapping. They integrate knowledge from a variety of reliable sources and present it in a structured manner to users to provide more rich, in-depth information and more intelligent search experiences。

    Google knowledge mapping network

     
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