Data query method, device, medium and computing equipment based on rpa and ai

A technology of data query and query statement, applied in computing, digital data processing, digital data information retrieval, etc., can solve problems such as wrong query results in query forms, wrong query targets and query conditions, and poor user experience, etc. Guaranteed accuracy and improved user experience

Active Publication Date: 2022-02-22
BEIJING LAIYE NETWORK TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional RPA has certain limitations: it can only be based on fixed rules, and the application scenarios are limited
[0007] In the above process, if the query statement input by the user is not suitable enough, such as the pre-trained form query model cannot recognize the query statement input by the user, the subsequent query target and query condition output by the pre-trained form query model may be wrong, As a result, the query result is wrong when querying the form, resulting in poor user experience

Method used

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  • Data query method, device, medium and computing equipment based on rpa and ai
  • Data query method, device, medium and computing equipment based on rpa and ai
  • Data query method, device, medium and computing equipment based on rpa and ai

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Experimental program
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Effect test

Embodiment 1

[0093]Robotic Process Automation (RPA) is abbreviated as RPA, which simulates human operations on computers through specific "robot software", and automatically executes process tasks according to rules.

[0094] AI (Artificial Intelligence) is the English abbreviation of artificial intelligence. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. The technical solutions provided by the embodiments of the present invention mainly use the NLP (Natural Language Processing, natural language processing) technology in AI to perform operations such as word segmentation and normalization processing on query sentences.

[0095] Figure 1a It is a schematic flowchart of a data query method based on RPA and AI provided in Embodiment 1 of the present invention. The method can be applied to the query process of tabular data, and can be executed by a data query device bas...

Embodiment 2

[0120] figure 2 Another schematic flowchart of a data query method based on RPA and AI provided by Embodiment 2 of the present invention. On the basis of the above embodiments, this embodiment refines the "query information corresponding to the query statement to be processed" into "query Goals and Query Conditions", correspondingly, such as figure 2 As shown, the data query method based on RPA and AI provided in this embodiment may include the following steps:

[0121] S201: Obtain the input query statement for querying the table as the query statement to be processed.

[0122] S202: Normalize the objects to be normalized in the query statement to be processed by using the current corresponding relationship, and determine the query key object corresponding to the query statement to be processed.

[0123] Wherein, the current corresponding relationship includes: the corresponding relationship between the object to be normalized and the query key object, and the query key o...

Embodiment 3

[0131] image 3 It is a schematic flow diagram of a preferred data query method based on RPA and AI provided by Embodiment 3 of the present invention. On the basis of the above-mentioned embodiments, this embodiment is based on "based on preset sentence rules and corresponding query sentences to be processed." The key object of the query, and the process of determining the query statement to be used corresponding to the query statement to be processed" has been refined, such as image 3 As shown, the data query method based on RPA and AI provided in this embodiment includes:

[0132] S310. Obtain the input query statement for querying the table as the query statement to be processed.

[0133] S320. Normalize the objects to be normalized in the query statement to be processed by using the current corresponding relationship, and determine the query key object corresponding to the query statement to be processed.

[0134] Wherein, the current corresponding relationship includes...

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PUM

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Abstract

The embodiment of the present invention discloses a data query method, device, medium, and computing device based on RPA and AI. The method includes: obtaining the input query statement for querying the table as a query statement to be processed; using the current corresponding relationship to treat Process the objects to be normalized in the query statement for normalization, and determine the query key object corresponding to the query statement to be processed. The current correspondence includes: the correspondence between the object to be normalized and the query key object, and the query key The object includes the object corresponding to the table header; based on the preset statement rules and the query key object corresponding to the query statement to be processed, the query statement to be used corresponding to the query statement to be processed is determined; the query statement to be used is determined by using the query statement to be used and the target table query model. The query information corresponding to the query statement to be processed in the query table is provided for the table query, so as to improve the accuracy of the query result determined for the query table and improve user experience.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular, to a data query method, device, medium and computing device based on RPA and AI. Background technique [0002] RPA (Robotic Process Automation, Robotic Process Automation) simulates human operations on computers through specific "robot software", and automatically executes process tasks according to rules. [0003] AI (Artificial Intelligence) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. [0004] RPA has unique advantages: low-code, non-intrusive. Low-code means that RPA can be operated without a high IT level, and business personnel who do not understand programming can also develop processes; non-intrusive means that RPA can simulate human operations without opening interfaces with software systems. However, traditional RPA has ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/242G06F16/2455
CPCG06F16/2433G06F16/24564
Inventor 张原张海雷胡一川汪冠春褚瑞李玮
Owner BEIJING LAIYE NETWORK TECH CO LTD
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