Data sharing method and apparatus

CN122173307APending Publication Date: 2026-06-09RICHFIT INFORMATION TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
RICHFIT INFORMATION TECH
Filing Date
2024-12-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional data sharing methods rely on manual processing, which is time-consuming, labor-intensive, and prone to errors. Existing data warehouses and data lakes are costly and inefficient, failing to meet the needs of modern enterprises for efficient and accurate data transmission and sharing.

Method used

By constructing a data file feature library and using a graph structure to store data features of multiple different types of software systems, semantic recognition is performed after receiving the requirement information, and the data is retrieved and converted to provide the target format, including text cleaning, word segmentation, annotation processing and deep learning model training.

Benefits of technology

It reduces the cost and complexity of data sharing, improves the efficiency and accuracy of sharing data from different sources, and enables flexible data file feature management and efficient data conversion.

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Abstract

The application discloses a data sharing method and device, wherein the method comprises the following steps: receiving data demand information of a demander; the data demand information comprises descriptive information of demand data; based on semantic recognition, extracting features and format requirements of the demand data from the data demand information; searching for a node meeting the demand in a data file feature library by using the features of the demand data; the data file feature library stores data features of a plurality of different types of software systems in a graph structure, and the data features comprise metadata and data attributes; obtaining the demand data from a software system corresponding to the node meeting the demand; and converting the obtained demand data into a target format according to the format requirements of the demand data, and providing the demand data to the demander. The application can reduce the cost and complexity of data sharing, and improve the efficiency and accuracy of sharing of different source data.
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