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Method and device for predicting knowledge graph

A knowledge map and entity technology, applied in the field of knowledge map prediction, can solve data sparseness and other problems, and achieve the effect of avoiding data sparseness

Active Publication Date: 2017-11-24
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

However, the TransE model faces the problem of data sparsity when learning entity and relation vectors

Method used

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  • Method and device for predicting knowledge graph
  • Method and device for predicting knowledge graph
  • Method and device for predicting knowledge graph

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0074] The TransE model regards the relationship in the knowledge graph as a translational transformation between entity vectors in a low-dimensional space. In the embodiment of the present invention, a triple can be expressed as (h, l, t), where h represents a left entity, l represents a relationship, and t represents a right entity. By constantly adjusting the vectors of the left entity, relationship and right entity in each triple instance, the sum of t...

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Abstract

The embodiment of the invention provides a method and a device for predicting a knowledge graph. The method comprises the steps of acquiring a first entity and a second entity; establishing a first triangular sub-graph according to the first entity and the second entity; and determining a relation between the first entity and the second entity according to the first triangular sub-graph and an embedded model. According to the embodiment, the first entity and the second entity are acquired, the triangular sub-graph containing the first entity and the second entity is established, and the relation between the first entity and the second entity is determined according to the triangular sub-graph and the embedded model. In the embodiment, a relation type of the triangular sub-graph in the knowledge graph on the semantic level can be fully adopted, the relevance between object entities is acquired, and thus the problem of data sparseness caused by only consideration of direct semantic correlation of an entity pair is avoided.

Description

technical field [0001] The present invention relates to the computer field, and more specifically, to a method and device for knowledge map prediction in the computer field. Background technique [0002] Knowledge graphs aim to describe various entities or concepts and their relationships that exist in the real world, and are generally represented by triples, which include left entities, right entities, and relationships. The knowledge graph can also be viewed as a huge graph, where nodes represent entities or concepts, and edges are composed of attributes or relationships. In addition to providing users with links related to query words, the knowledge graph also endows query words with richer semantic information and provides more accurate and direct answers related to query words. [0003] Traditional search engines often can only provide users with web pages related to query words for users to choose by themselves. By utilizing the structured entity knowledge of the kno...

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Application Information

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IPC IPC(8): G06F17/30G06Q10/04G06F17/15
CPCG06F17/15G06Q10/04G06F16/951
Inventor 刘志容高升何秀强
Owner BEIJING UNIV OF POSTS & TELECOMM
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