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Critical path construction method and system for knowledge graph completion task

A knowledge graph and critical path technology, applied in the critical path construction method and system field of knowledge graph completion tasks, can solve the problems of low accuracy of reasoning tasks, insufficient path features, and low path search efficiency, etc., to improve path search efficiency , improve the accuracy, and improve the effect of reasoning accuracy

Pending Publication Date: 2021-07-13
ZHEJIANG UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the low efficiency of path search, insufficient path features, and low accuracy of inference tasks in current path-based reasoning methods

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  • Critical path construction method and system for knowledge graph completion task
  • Critical path construction method and system for knowledge graph completion task
  • Critical path construction method and system for knowledge graph completion task

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

The invention discloses a key path construction method and system for a knowledge graph completion task. The method comprises the steps: constructing a positive sample set based on a target knowledge graph; constructing a relation search probability model through a maximum path depth-first search method, and constructing a target path pool model according to the residual positive sample data set of the positive sample set; based on the dynamic path index of the target path pool model, constructing a key path model of a completion task, and performing the completion task on the target knowledge graph; the system comprises a knowledge graph construction module, a positive sample extraction module, a path feature search module, a path feature screening module and a data storage module. The knowledge graph construction module is connected with the path feature search module through the positive sample extraction module; the path feature search module is connected with the data storage module through the path feature screening module; according to the method, knowledge graph path sparseness is relieved, the path search efficiency is improved, and the knowledge graph completion task precision is improved.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a key path construction method and system for knowledge graph completion tasks. Background technique [0002] With the rapid development of my country's information technology and economy, data in every field is increasing day by day, and how to properly store such explosive data has always attracted attention. Knowledge graph technology was first proposed by Google in 2013, which is essentially a semantic network that reveals the relationship between entities. Evolved to today, knowledge graph technology usually stores data in the form of triples in the RDF model. However, with the iterative update of data, the amount of knowledge in the knowledge graph is also increasing. Some famous knowledge graphs such as Freebase and yago data sets have reached a considerable scale. [0003] However, although the size of knowledge graphs is increasing day by day, there are o...

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Application Information

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IPC IPC(8): G06F16/36G06N5/04
CPCG06N5/04G06F16/367
Inventor 俞山青甘燃张建林童天航宣琦
Owner ZHEJIANG UNIV OF TECH