Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for detecting authenticity of triples in knowledge graph

A knowledge graph and triplet technology, which is applied in the field of triplet authenticity detection in knowledge graphs, can solve the problems of inaccurate triplet authenticity detection, and achieve the effect of improving the accuracy.

Active Publication Date: 2020-06-26
NAT UNIV OF DEFENSE TECH
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to address the above technical problems and provide a method and device for triple authenticity detection in knowledge graphs that can solve the problem of inaccurate triple authenticity detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for detecting authenticity of triples in knowledge graph
  • Method and device for detecting authenticity of triples in knowledge graph
  • Method and device for detecting authenticity of triples in knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049]In one embodiment, such as figure 1 As shown, a method for authenticity detection of triples in a knowledge graph is provided, including the following steps:

[0050] Step 102, extracting a first vector describing triplet structural information in the knowledge graph and a second vector describing triplet description information in the knowledge graph from the text.

[0051] The first and second are only limitations for distinguishing two vectors, and have no practical meaning. In the knowledge graph, the triplet structure is (head, relation, tail), head refers to ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method and a device for detecting authenticity of triples in a knowledge graph. The method comprises the following steps of: forming a substrate; extracting a first vector for describing triad structure information in the knowledge graph and a second vector for describing triad description information in the knowledge graph from the text; fusing the first vector and thesecond vector; obtaining fusion vectors, according to a preset network structure of a capsule network, constructing a scoring function used for defining a triple score, scoring function, constructinga loss function for training a capsule network; constructing a sample set according to the fusion vector, training the capsule network model according to the sample set and the loss function to obtaina trained capsule network, inputting the fusion vector corresponding to the a to-be-predicted triad into the trained capsule network, and determining whether the relationship of the triad is accurateor not according to the output value of the scoring function. By adopting the method, tThe accuracy of triple authenticity detection can be improved.

Description

technical field [0001] The present application relates to the technical field of knowledge graphs, in particular to a method and device for detecting the authenticity of triples in knowledge graphs. Background technique [0002] Since Google first proposed the concept of knowledge graph in 2012, it has developed in the field of artificial intelligence at a very fast speed. Today, research and work related to knowledge graphs play a pivotal role in various fields of artificial intelligence. For its part, knowledge graphs are usually stored as triples (head, relation, tail). Triplets can characterize the internal structure and relationships of graphs. In recent years, research on representation learning, relation prediction and graph completion is the foundational part. They are also the most important part of the knowledge graph. There are many related methods, such as TransE (Bordes et al., 2013), DistMult (Yang et al., 2014), ComplEx (Trouillon et al., 2016), ProjE (Shi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06K9/62G06N3/04
CPCG06F16/367G06N3/045G06F18/253
Inventor 谭真赵翔王俞涵郭得科李欣奕徐浩肖卫东
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com