Structured entity recording method and device, server and storage medium

A structured entity and entity technology, applied in the field of data processing, can solve the problems of low accuracy, large amount of calculation, and long time consumption, and achieve the effect of improving efficiency and accuracy, reducing calculation amount, and simple and efficient collection

Active Publication Date: 2018-05-15
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a structured entity recording method, device, server and storage medium to solve the problems of large amount of calculation, time-consuming and low accuracy when recording entities in existing knowledge graphs

Method used

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  • Structured entity recording method and device, server and storage medium
  • Structured entity recording method and device, server and storage medium
  • Structured entity recording method and device, server and storage medium

Examples

Experimental program
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Embodiment 1

[0028] figure 1 The flow chart of the structured entity recording method provided by Embodiment 1 of the present invention, this embodiment is applicable to the situation of expanding the knowledge map, the method can be executed by the structured entity recording device, and the device can use software and / or or hardware, and the device can be integrated in the server. like figure 1 As shown, the method specifically includes:

[0029] S110. Select candidate entities related to the structured entities to be included from the knowledge graph.

[0030] Existing knowledge graphs collect structured entities, and for each structured entity to be included, entity resolution needs to be performed on all entities in the knowledge graph. Since it involves entity analysis of all entities, the process is computationally intensive and time-consuming. Based on this, when the knowledge map in this embodiment collects structured entities, it no longer performs entity analysis on all entit...

Embodiment 2

[0045] This embodiment provides a preferred implementation manner of S120 on the basis of the foregoing embodiments, figure 2 It is a flow chart of the structured entity recording method provided by Embodiment 2 of the present invention. like figure 2 As shown, the method includes:

[0046] S210. Select candidate entities related to the structured entities to be included from the knowledge graph.

[0047] S220. Calculate the entity similarity probability between the structured entity to be included and each candidate entity according to the prior attribute information and the preset model of the category to which the candidate entity belongs.

[0048] Each structured entity to be included and each candidate entity has attribute information. In this embodiment, the attribute information of each entity can be used to calculate the entity similarity probability between the structured entity to be included and each candidate entity according to the prior attribute information...

Embodiment 3

[0055] This embodiment provides a preferred implementation manner of S220 on the basis of the foregoing embodiments, image 3 It is a flow chart of the structured entity recording method provided by Embodiment 3 of the present invention. like image 3 As shown, the method includes:

[0056] S310. Select candidate entities related to the structured entities to be included from the knowledge graph.

[0057] S320. For each candidate entity, calculate the probability of each attribute similarity between the structured entity to be included and the candidate entity by using a preset attribute comparison method and attribute importance.

[0058] In this embodiment, there may be one or more candidate entities corresponding to the structured entity to be included, and the structured entity to be included and each candidate entity include one or more attributes. For each candidate entity, a preset attribute comparison method and attribute importance can be used to calculate the prob...

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PUM

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Abstract

The embodiment of the invention discloses a structured entity recording method and device, a server and a storage medium. The structured entity recording method comprises the steps that candidate entities related to structured entities to be recorded are selected from a knowledge graph, the structured entities to be recorded are determined as associated entities according to priori attribute information of the type to which the candidate entities belong and a preset model, the associated entities and the candidate entities are merged, and the associated entities are recorded into the knowledgegraph. According to the embodiment of the invention, the problems are solved that when an existing knowledge map records entities, since entity analysis is conducted on existing entities in the knowledge graph once in the process of adding one entity, the calculation amount is large, the consumed time is long, and the accuracy of entity analysis is not high; the candidate entities are selected, and then prior knowledge is utilized to fuse the preset model so that the efficiency and accuracy of entity association can be effectively improved; the calculation amount is reduced, and therefore theknowledge graph can easily and efficiently record the structured entities.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a structured entity recording method, device, server and storage medium. Background technique [0002] Knowledge graph plays a pivotal role in both academia and industry. It is the foundation of artificial intelligence and the only way to realize applications such as intelligent question answering. It can provide users with information quickly and conveniently. The knowledge graph is essentially a network composed of entity nodes and edges between nodes. The repetition rate and accuracy rate of the knowledge graph will affect its service quality. [0003] When there is an update requirement, the knowledge map needs to include new entities. At present, usually every time an entity is added, an entity analysis is required for each entity in the knowledge graph. This process is computationally intensive and time-consuming, and cannot be applie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/367G06F16/28G06N5/022G06N20/00G06N7/01G06F16/288G06F16/951G06F16/955G06F16/9024
Inventor 徐也冯知凡陆超张扬方舟王述朱勇李莹
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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