Knowledge graph establishment method and system
A technology of knowledge graph and construction method, applied in the direction of structured data retrieval, semi-structured data retrieval, semi-structured data mapping/transformation, etc., can solve the problems that cannot be directly applied as artificial intelligence technology
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Embodiment 1
[0057] figure 1 It is a flow chart of the knowledge graph construction method provided by the embodiment of the present invention.
[0058] refer to figure 1 , the knowledge map construction methods include:
[0059] Step S101, establishing the infrastructure of the knowledge graph according to common data standards;
[0060] Step S102, unify and standardize the relationship between entities in the infrastructure to obtain a standard dictionary table with standard specifications;
[0061] Further, step S102 can be implemented by taking the following steps:
[0062] Convert entity attributes of entities into triple data RDF (Resource Description Framework, triple data);
[0063] According to RDF, entity attributes and entity relationship types and naming rules are standardized.
[0064] Here, medicine is taken as an example for explanation. Medical textbooks and medical literature are the main basis and basis for establishing traditional medical knowledge maps. It has ma...
Embodiment 2
[0092] image 3 It is a schematic diagram of a knowledge map construction system provided by an embodiment of the present invention.
[0093] refer to image 3 , the knowledge map construction system includes:
[0094] The infrastructure building module 10 is used to establish the infrastructure of the knowledge map according to the general data standard;
[0095] The unified specification module 20 is used to uniformly standardize the relationship between the various entities in the infrastructure to obtain a standard dictionary table with standard specifications;
[0096] An acquisition module 30, configured to acquire semi-structured data related to the content in the knowledge map;
[0097] An extraction module 40, configured to extract entity information of key entities from semi-structured data;
[0098] The data fusion module 50 is used for performing data fusion on the entity information according to the standard dictionary table to form structured data;
[0099] ...
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