Cross-platform copyright mutual recognition interface method
By using a consortium blockchain technology architecture and standardized API interfaces, the problem of mutual recognition of copyrights among educational platforms has been solved, enabling real-time synchronization and efficient transfer of textbook copyright status, reducing costs, ensuring the consistency and timeliness of copyright information, and promoting the collaborative development of educational platforms.
Patent Information
- Application Number
- CN202511998096.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-28
- Publication Date
- 2026-03-24
AI Technical Summary
The lack of a unified copyright mutual recognition mechanism among various educational platforms leads to duplicate authorizations and reviews of textbooks during cross-platform circulation, and the inability to synchronize copyright status in real time. This increases costs for copyright holders and platforms, delays the online availability of textbooks, and easily triggers infringement or authorization conflicts.
The system adopts a consortium blockchain architecture and achieves cross-platform copyright mutual recognition through standardized API interfaces. The consortium blockchain management node reviews the access platforms and assigns unique node identifiers and authentication keys. Textbook copyright information is submitted or queried through the API interface. When the copyright status changes, it is verified by the consortium blockchain consensus mechanism and automatically synchronized to other platforms. Platforms perform dual verification through API interfaces.
It enables real-time automatic synchronization of textbook copyright status, reduces redundant authorization processes and review steps, lowers costs, improves authorization efficiency, ensures the consistency and timeliness of copyright information, and promotes the collaborative development of diverse education platforms.
Smart Images

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