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Method and device for acquiring knowledge graph vectoring expression

A knowledge map and vector technology, applied in the field of vectorized representation of knowledge maps, can solve problems such as insufficient representation effects, and achieve the effect of solving insufficient representation effects and enriching information

Active Publication Date: 2016-08-03
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the method can not only improve the representation ability of one-to-many, many-to-one and many-to-many relationships, but also effectively solve the problem of insufficient representation effect caused by the sparsity of the knowledge map

Method used

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  • Method and device for acquiring knowledge graph vectoring expression
  • Method and device for acquiring knowledge graph vectoring expression
  • Method and device for acquiring knowledge graph vectoring expression

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Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] figure 1 It is a flowchart of a method for obtaining a vectorized representation of a knowledge map provided by an embodiment of the present invention. Such as figure 1 As shown, the method for obtaining the vectorized representation of the knowledge map provided by an embodiment of the present invention includes:

[0053] In step S101 , according to the knowledge graph to be processed, an entity labeling tool is used to mark entities that belong to t...

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Abstract

The invention discloses a method and a device for acquiring knowledge graph vectoring expression. The method comprises the following steps of labeling an entity, existed in and belonging to a knowledge graph, in a given auxiliary text corpus by utilization of an entity labeling tool according to a to-be-processed knowledge graph so as to obtain an entity-labeled text corpus; constructing a co-occurrence network comprising words and entities on the basis of the text corpus so as to relate text information of the auxiliary text corpus to entity information of the knowledge graph, and then learning to obtain a text context embedded expression; respectively modeling the embedded expression of the entity and relation in the knowledge graph according to the text context embedded expression so as to obtain an embedded expression model of the knowledge graph; training the embedded expression model by utilization of a stochastic gradient descent algorithm so as to obtain the embedded expression of the entity and relation in the knowledge graph. The method and the device disclosed by the invention have the advantages that not only can the expression capability of the relation be improved, but also the problem of insufficient expression effect caused by sparseness of the knowledge graph can be effectively solved.

Description

technical field [0001] The present invention relates to the field of Semantic World Wide Web, in particular to a method and device for obtaining vectorized representation of knowledge graph. Background technique [0002] The Semantic Web is an extension of the current Web, and the web of data containing precise semantic information is the core of the Semantic Web. The Linking Open Data Project proposed by Tim Berners-Lee, the father of the World Wide Web, aims to build such a data network, and the semantic knowledge base is the foundation of the data network. [0003] In the context of the Semantic World Wide Web, the vectorized representation calculation of the knowledge graph aims to represent the entities in the knowledge graph as a distributed, low-dimensional vector, and further endow the knowledge graph with computable properties. It has been proved in the knowledge graph supplement, text It has an important role in improving classification and information extraction....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/205
Inventor 李涓子王志刚
Owner TSINGHUA UNIV
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