Data detection method and apparatus
By constructing a data knowledge graph through contract text parsing and performing testing, the problem of low efficiency and high cost in the full lifecycle compliance testing of data assets in existing technologies has been solved, achieving automated and accurate compliance testing.
CN115470361BActive Publication Date: 2026-06-16ANT BLOCKCHAIN TECHNOLOGY (SHANGHAI) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANT BLOCKCHAIN TECHNOLOGY (SHANGHAI) CO LTD
- Filing Date
- 2022-09-20
- Publication Date
- 2026-06-16
AI Technical Summary
Technical Problem
Existing technologies lack efficient automated compliance testing solutions, making it difficult to conduct legal compliance testing throughout the entire lifecycle of data assets, which poses legal risks.
Method used
By parsing the contract text, determining the data description information, constructing a data knowledge graph, and using a pre-built data risk strategy to detect the graph, automated compliance detection is achieved.
Benefits of technology
It improved the efficiency of data detection, reduced labor costs, and enhanced the accuracy and timeliness of compliance testing.
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Figure CN115470361B_ABST
Abstract
The embodiment of the specification provides a data detection method and device, wherein the data detection method comprises the following steps: analyzing a contract text to determine data description information; obtaining target data, and constructing a data knowledge graph according to the target data and the data description information; and performing data detection on the data knowledge graph according to a pre-constructed data risk strategy to obtain a detection result. The contract text of data transmission is analyzed to determine the data description information for the target data, the obtained target data is constructed into a data knowledge graph, the data knowledge graph is detected according to the pre-constructed data risk strategy and the data description information, and a detection result is obtained. Since the target data is constructed into a data knowledge graph, the target data and the relationship between the data can be automatically detected according to the pre-constructed data risk strategy, the detection efficiency is improved, and the labor cost is reduced.
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