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Knowledge graph link prediction method and system based on dual quaternions

A technology of dual quaternion and knowledge map, applied in the field of knowledge map

Active Publication Date: 2021-03-02
SUN YAT SEN UNIV
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Problems solved by technology

However, the current knowledge graph representation learning model ignores this aspect and lacks consideration of the diversity of relationships between entities in the knowledge graph.

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  • Knowledge graph link prediction method and system based on dual quaternions
  • Knowledge graph link prediction method and system based on dual quaternions
  • Knowledge graph link prediction method and system based on dual quaternions

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Embodiment Construction

[0041] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0042] Such as figure 1 As shown, the present invention provides a dual quaternion-based knowledge map link prediction method, the method comprising the following steps:

[0043] S1. Load the data and analyze the data to obtain the triplet data of the knowledge map;

[0044] S2. Perform training and parameter adjustment on the preset dual quaternion knowledge graph model according to the triplet data of the knowledge graph, and obtain the trained dual quaternion knowledge graph model;

[0045] S3. Predict the tripl...

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Abstract

The invention discloses a knowledge graph link prediction method and system based on dual quaternions, and the method comprises the steps: loading data and analyzing the data, and obtaining triple data of a knowledge graph; performing training and parameter adjustment on a preset dual quaternion knowledge graph model according to the triple data of the knowledge graph to obtain a trained dual quaternion knowledge graph model; and predicting the to-be-tested triad according to the trained dual quaternion knowledge graph model to obtain a prediction result. The system comprises a data loading module, a model training module and a link prediction module. By using the method and the device, the problem that a plurality of relations exist between the head entity and the tail entity in the knowledge graph can be effectively solved by effectively utilizing the characteristics of the dual quaternion. The knowledge graph link prediction method and system based on the dual quaternion can be widely applied to the field of knowledge graphs.

Description

technical field [0001] The invention belongs to the field of knowledge graphs, in particular to a dual quaternion-based knowledge graph link prediction method and system. Background technique [0002] In the knowledge graph, each fact can be represented by a triple (h, r, t), where h represents the head entity, t represents the tail entity, and r represents the relationship between the head entity and the tail entity. Knowledge graph representation learning is a basic and challenging work in the field of knowledge graphs, and has become an important part of knowledge graph completion. Knowledge graph representation learning (knowledge graph embedding) captures the semantic information between them by mapping the entities and relationships in the knowledge graph to low-dimensional space vectors. There are multiple relationships between entities in real scenarios, and these relationships are completely unrelated. However, current knowledge graph representation learning model...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/02
CPCG06N5/027Y02D10/00
Inventor 高黎明卓汉逵
Owner SUN YAT SEN UNIV
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