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Knowledge map processing method, device, server and storage medium

A technology of knowledge graph and processing method, which is applied in the field of knowledge graph processing method, server and storage medium, and device, and can solve the problems of low accuracy of knowledge graph and inaccurate verification of wrong knowledge, etc.

Active Publication Date: 2020-11-13
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above technical solution is only based on the existing knowledge in the knowledge map to verify the accuracy. In the case of large noise, that is, there are many wrong knowledge, the wrong knowledge cannot be accurately verified, and furthermore, it cannot be performed. Correction, therefore, after the processing of the above technical solutions, the accuracy of the knowledge map is still low

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  • Knowledge map processing method, device, server and storage medium
  • Knowledge map processing method, device, server and storage medium
  • Knowledge map processing method, device, server and storage medium

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Embodiment Construction

[0034]In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0035] The terms "first", "second", "third" and "fourth" in the specification, claims and drawings of the present application are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.

[0036] Artificial Intelligence (AI) is a theory, method, technology and applicatio...

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Abstract

The invention provides a knowledge graph processing method and device, a server and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps thatbased on any knowledge tuple in a knowledge graph, acquiring a plurality of target text corpora corresponding to the knowledge tuple, wherein the knowledge tuple comprises any entity pair in a plurality of entities of the knowledge graph and a reference relation between the entities in the entity pair, and the target text corpora comprise the entity pair; performing relationship extraction basedon the plurality of target text corpora, and determining the probability that the relationship between entities expressed by the plurality of target text corpora belongs to the relationship category of the reference relationship as a relationship parameter; determining confidence of the knowledge tuples based on the relationship parameters; and determining the knowledge tuples of which the confidence coefficients meet the target processing condition as to-be-processed knowledge tuples. The confidence coefficient of the knowledge tuple is determined based on the target text corpus comprising the entity pair in the knowledge tuple, and then the knowledge tuple with the confidence coefficient meeting the condition is processed, so that the accuracy of the knowledge graph can be improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a knowledge map processing method, device, server and storage medium. Background technique [0002] Knowledge graph is a semantic network that reveals the relationship between entities, and has been widely used in medical treatment, search, intelligent question answering, personalized recommendation and other scenarios. With the development of artificial intelligence technology, the level of automated creation of knowledge graphs continues to increase, but it faces challenges in accuracy. [0003] At present, in order to improve the accuracy of the knowledge map, after the knowledge map is created, knowledge reasoning will be performed based on the existing knowledge in the knowledge map to discover contradictory relationships in the knowledge map and correct the contradictory relationships. [0004] The above technical solution is only based on the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F40/295
CPCG06F16/367G06F40/295
Inventor 陈曦文瑞张子恒卢睿轩
Owner TENCENT TECH (SHENZHEN) CO LTD