Knowledge graph-based edge relationship prediction method, apparatus and device, and storage medium

A technology of knowledge graph and relationship, which is applied in the field of edge relationship prediction method, device, equipment and storage medium based on knowledge graph. The effects of comprehensive information, improved accuracy, and improved completeness
CN112528037APending Publication Date: 2021-03-19BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING BAIDU NETCOM SCI & TECH CO LTD
Publication Date
2021-03-19

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Abstract

The invention discloses an edge relationship prediction method and device based on a knowledge graph, equipment and a storage medium, and relates to the technical field of deep learning and the technical field of knowledge graphs. The method comprises the steps of obtaining a first knowledge graph, wherein the first knowledge graph is constructed based on structured data and unstructured data of atarget knowledge domain; obtaining a first knowledge representation model, wherein the first knowledge representation model is generated by training a first BERT model through the corpus data set ofthe target knowledge domain; and inputting the marking word vectors and the position word vectors of the plurality of nodes of the first knowledge graph into a second BERT model for information aggregation processing to obtain edge relationship information between the plurality of nodes of the first knowledge graph and respective neighbor nodes. By utilizing the embodiment of the invention, the edge relationship information among the nodes in the knowledge graph can be obtained.
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Description

technical field

[0001] The present application relates to the technical field of deep learning and the technical field of knowledge graph, and specifically relates to a method, device, equipment and storage medium for edge relationship prediction based on knowledge graph. Background technique

[0002] Knowledge Graph usually refers to a semantic network that can reveal the relationship between entities. It is based on data mining, information processing, graphics drawing, etc., and uses visual graphs to visualize complex knowledge fields. It can be used to a certain extent. It embodies the law of development in the field of knowledge. Knowledge representation is a description of knowledge, which includes a computer-acceptable data structure for describing knowledge. Knowledge Inference (Knowledge Inference) usually refers to the process of simulating human intelligent reasoning in a computer or intelligent system, and using formalized knowledge to carry out machine thinking...

Claims

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