An electronic archive metadata processing method, system, medium and product

CN122153142APending Publication Date: 2026-06-05BEIJING RONGANTE INTELLIGENT TECH CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: BEIJING RONGANTE INTELLIGENT TECH CO LTD
Filing Date: 2026-02-10
Publication Date: 2026-06-05

AI Technical Summary

Technical Problem

In existing technologies, the input of electronic archive metadata relies on manual reading and manual entry, which leads to low efficiency and is prone to errors. It cannot effectively handle non-standardized expressions or minor adjustments to the format, affecting the standardization and consistency of archive data.

Method used

Pre-trained language models and graph neural network models are used to identify and transform non-standard metadata. Initial metadata is extracted by combining it with a preset rule base. Missing data is filled in through graph reasoning, and a dual verification mechanism is used to ensure data quality, ultimately generating a high-quality retrieval index.

Benefits of technology

It enables intelligent management of electronic archive metadata throughout its entire lifecycle, automatically processes archives in multiple formats, identifies and corrects non-standard metadata, significantly improves the accuracy and efficiency of data processing, and reduces labor costs and operational risks.

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Abstract

The application discloses an electronic archive metadata processing method and system, a medium and a product, and relates to the field of data processing.The method comprises the following steps: obtaining an electronic archive file and converting the electronic archive file into a target file format to obtain a to-be-processed archive file; extracting an initial metadata set from the to-be-processed archive file; when it is identified that target metadata is a non-standard description, converting the format of the target metadata into a standard format to obtain standard metadata; determining a key metadata set that is missing from the initial metadata set, and generating a completed metadata set based on source information; updating the initial metadata set to obtain a to-be-verified metadata set; verifying the to-be-verified metadata set by using a preset verification rule; when there is no abnormal metadata in the to-be-verified metadata set, taking the to-be-verified metadata set as a final metadata set of the electronic archive file, and generating a metadata retrieval index.The application can improve the accuracy of electronic archive metadata processing.

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