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Knowledge graph relationship alignment method and device, equipment and storage medium

A technology of knowledge graph and relation pair, which is applied in the field of equipment and storage medium, device, and relation alignment method of knowledge graph, and can solve the problems of low efficiency of relation classification and so on.

Pending Publication Date: 2020-04-17
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

However, there is no relevant research on relationship classification, and the efficiency of relationship classification in knowledge graphs is low.

Method used

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  • Knowledge graph relationship alignment method and device, equipment and storage medium
  • Knowledge graph relationship alignment method and device, equipment and storage medium
  • Knowledge graph relationship alignment method and device, equipment and storage medium

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Embodiment Construction

[0030] Embodiments of the present invention provide a method, device, device, and storage medium for relational alignment of a knowledge map. By vectorizing the relation based on the upper and lower hierarchical structure information of the relation and calculating the similarity between the relational vectors, it is determined whether each relation represents same meaning and classify the relations, improving the efficiency of relation alignment in knowledge graphs.

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.

[0032] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It ...

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Abstract

The invention relates to the field of artificial intelligence, and discloses a knowledge graph relation alignment method and device, equipment and a storage medium, and aims to judge whether relationsare similar or not and classify the relations through vectorization of the relations and calculation of the similarity between relation vectors, so that the relation alignment efficiency in the knowledge graph is improved. The method comprises the steps of obtaining triple data in a knowledge graph; converting the triple data through a preset vector conversion model to obtain a relation initial vector of each relation; clustering all the relation initial vectors through a preset clustering algorithm to obtain a relation clustering vector of each relation; clustering the initial relationship vectors with the same relationship in the triple data through a preset clustering algorithm to obtain a relationship sub-vector of each relationship; calculating the relationship similarity between therelationships in any two triples based on the relationship initial vector, the relationship clustering vector and the relationship sub-vector; and classifying the relationships according to the relationship similarity.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method, device, device and storage medium for relational alignment of knowledge graphs. Background technique [0002] Knowledge graph technology is increasingly becoming the basis of artificial intelligence, and it is an important method for machines to understand natural language and build knowledge networks. In recent years, the integration of different knowledge graphs has quietly emerged, which helps staff in different work fields retrieve relevant content, thereby improving work quality and efficiency. [0003] The legal knowledge system is very complex and is a combination of various logics. In order to build a complete knowledge system, it is necessary to integrate knowledge from various fields, and the knowledge system will be continuously updated. During the update process, new entities and relationships will be added. How to map the new relationships to...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36
CPCG06F16/35G06F16/367
Inventor 凌岚刘嘉伟于修铭陈晨李可汪伟
Owner PING AN TECH (SHENZHEN) CO LTD
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