元数据处理方法、装置、计算机设备和存储介质
By analyzing the frequency of metadata interactions and using a Bayesian classification strategy, metadata is divided into high-frequency and low-frequency categories, optimizing metadata database management, solving the problem of metadata inconsistency, improving interaction efficiency and flexibility, and ensuring rapid response.
CN119645937BActive Publication Date: 2026-07-17CHINA TELECOM CLOUD TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA TELECOM CLOUD TECH CO LTD
- Filing Date
- 2024-12-02
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing database management tools are prone to data inconsistencies in metadata management, failing to meet actual needs.
Method used
By analyzing the interaction frequency of metadata, a Bayesian classification strategy is used to divide metadata into high-frequency and low-frequency categories. High-frequency category metadata is added first during account interaction operations, while the addition time of low-frequency category metadata is reasonably arranged to optimize the management of the metadata database.
Benefits of technology
It improves the efficiency and flexibility of metadata database interaction, ensures the system responds quickly to account requests, reduces metadata inconsistency issues, and improves the efficiency and accuracy of data acquisition.
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Figure CN119645937B_ABST
Abstract
本申请涉及一种元数据处理方方法、装置、计算机设备、存储介质和计算机程序产品。所述方法包括：获取各元数据的交互频率；根据各所述元数据的交互频率，确定各所述元数据的类别；其中，所述元数据的类别包括：第一类别和第二类别；其中，第一类别的交互频率高于第二类别；响应于账号对元数据数据库的交互操作，将所述类别为第一类别的元数据添加到元数据数据库中；在所述元数据数据库交互频率在预设的阈值范围的情况下，将所述类别为第二类别的元数据添加到元数据数据库中。采用本方法能够优化元数据数据库的管理，提高元数据数据库的交互效率以及准确性。
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