Knowledge graph system and graph server thereof

A knowledge map and server technology, applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve problems that cannot be adapted to map data management and retrieval, and achieve a stable effect
CN109670089APending Publication Date: 2019-04-23YINGTOU INFORMATION & TECH SHANGHAI CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YINGTOU INFORMATION & TECH SHANGHAI CO LTD
Publication Date
2019-04-23

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Abstract

The invention provides a knowledge graph system and a graph server thereof. The graph server comprises a graph database interface used for receiving a data operation request of a user and calling a corresponding interface to operate a distributed data storage module according to the type of the data operation request; a graph data writing interface used for creating or updating node or edge data in the distributed data storage module according to the type of to-be-written data, and returning a unique index of the data in the distributed data storage module; a graph data query interface which is used for obtaining the data stored in the distributed data storage module according to query conditions and returning the data to a user according to a preset node and edge data format; and a distributed data storage module which is used for providing data storage and query service for the graph server. By means of the method, the problem that an existing graph database cannot adapt to graph data management and retrieval in a large data volume scene can be effectively solved.
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Description

technical field

[0001] The present application relates to the technical field of knowledge graph processing, in particular, to a knowledge graph system and a graph server thereof. Background technique

[0002] A knowledge graph is a database that realizes semantic search by saving various entities and their relationships in the real world, and stores and queries data in a graph data structure. Among them, each entity is identified by a globally unique identifier (ID, IDentifier), the "property-property value" pair (PVP, Property Value Pair) is used to represent the intrinsic characteristics of the entity, and the relationship (Relation) is used to connect the two entities, representing the associations between them. The knowledge map can be regarded as a huge graph, the nodes of the graph represent entities, and the edges represent the relationships between nodes (edges are composed of attributes and relationships).

[0003] Taking the financial knowledge graph as an examp...

Claims

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