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Method and device for constructing knowledge graph, electronic equipment and storage medium

A knowledge graph and knowledge extraction technology, applied in the creation of semantic tools, electronic digital data processing, unstructured text data retrieval, etc., can solve the problems of complicated entity relationships, inconvenient for users to view intuitively, and achieve the simplicity and reduction of entity relationships. Complicated entity relationships, easy-to-view effects

Pending Publication Date: 2022-07-15
BEIJING XUEZHITU NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the fact that different entity representations have the same or similar meanings, if the knowledge graph is directly connected sequentially by the relationship between the entities and the entities, the entity relationship between the entity and the entity presented by the knowledge graph will be complicated, which is not convenient for users. Intuitively view the relationship between entities and entities

Method used

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  • Method and device for constructing knowledge graph, electronic equipment and storage medium
  • Method and device for constructing knowledge graph, electronic equipment and storage medium
  • Method and device for constructing knowledge graph, electronic equipment and storage medium

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Embodiment Construction

[0020] In order to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are for reference only and are not intended to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, numerous details are provided to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawings.

[0021] The terms "first", "second" and the like in the description and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or s...

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Abstract

The invention relates to the technical field of knowledge maps, and discloses a method for constructing a knowledge map, which comprises the following steps: acquiring first corpus data; inputting the first corpus data into a preset knowledge extraction model to obtain a plurality of first entity vectors, first entity types corresponding to the first entity vectors and first entity relationships corresponding to the first entity vectors; dividing each first entity vector into a plurality of vector groups according to the first entity type; semantic clustering is carried out on the first entity vectors in the vector groups, and entity class clusters corresponding to the vector groups are obtained; and connecting the entity class clusters according to the first entity relationships to obtain the knowledge graph. Thus, the redundant entity relationship in the knowledge graph is reduced, the entity relationship between the entities presented by the knowledge graph is more concise, and a user can visually check the relationship between the entities more conveniently. The invention further discloses a device for constructing the knowledge graph, a server and a storage medium.

Description

technical field [0001] The present application relates to the technical field of knowledge graphs, for example, to a method and apparatus for building a knowledge graph, an electronic device, and a storage medium. Background technique [0002] With the continuous development of science and technology, more and more fields have applied knowledge graph. Using knowledge graphs can assist in data analysis and decision-making, as well as facilitate retrieval and question and answer. Usually, the user will extract the corresponding relationship between each entity and entity in the data, and then directly connect the entity and the relationship between the entities to form a knowledge graph. [0003] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art: [0004] Since there are situations where the meanings of different entity representations are the same or similar, if the relationshi...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06F40/30G06F40/216
CPCG06F16/367G06F16/355G06F40/30G06F40/216
Inventor 于皓张杰
Owner BEIJING XUEZHITU NETWORK TECH