Embedding Copyright IDs in Function Words via Blockchain
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Solution Overview
Problem
Existing copyright protection methods face challenges in identifying and managing unauthorized use of copyrighted content, particularly when only a portion of the content is used, as it can be difficult to trace the origin and ownership of the copyrighted material.
Innovation Solution
Generating a unique identifier based on copyright information associated with textual content, embedding it in function words without altering the text's meaning, and using blockchain technology to enable retrieval of copyright information, allowing for secure and transparent tracking and authentication of ownership.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If copyright information is embedded in the content, then identification of copyrighted material is improved, but the complexity of the system increases
Solution Approach 1:
The patent embeds copyright information within function words by nesting the unique identifier inside the lexical structure of commonly used words. This nesting approach allows copyright metadata to be hidden within ordinary text without requiring separate embedding systems or complex infrastructure.
Solution Approach 2:
The patent introduces function words as intermediaries to carry copyright information. These function words act as mediators that transport the unique identifier through the text naturally, allowing copyright tracking without directly modifying the meaningful content or requiring complex embedding mechanisms.
2Reliability
If unique identifier is embedded in function words, then copyright tracking is improved, but the text processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively embedding copyright information only in function words rather than uniformly across all text elements. This localized approach concentrates the tracking mechanism in specific, non-critical positions where embedding does not interfere with meaning but enables reliable identification.
Solution Approach 2:
The patent uses copying by replicating the unique identifier across multiple function words within the same copyrighted content. This replication ensures that the copyright information can be reliably detected from any portion of the text, improving tracking reliability without requiring complex verification systems.
3Reliability
If blockchain technology is used to store copyright information, then security and immutability are improved, but the storage and retrieval complexity increases
Solution Approach 1:
The patent extracts only the essential unique identifier to the blockchain while keeping the full copyright information distributed locally in the text through function words. This extraction reduces blockchain storage requirements and simplifies retrieval operations, as only the compact identifier needs to be verified on-chain rather than storing complete copyright records.
4Difficulty of detecting and measuring
If function words are modified to embed ID, then copyright identification is improved, but the alteration of text structure increases
Solution Approach 1:
The patent applies parameter changes by modifying the internal structure of function words to embed the unique identifier while maintaining the same external lexical form. This allows the text structure to remain stable from a linguistic perspective while internally encoding copyright information through changes in the word's compositional parameters.
Data Source
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AI summary
Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying copyrighted material based on embedded copyright information. One of the methods includes generating, by a computing device, a unique identifier (ID) based on copyright information associated with the textual content, wherein the text and the copyright information are recorded on a blockchain of a blockchain network; adding, by the computing device, one or more function words to the textual content without altering a meaning of the textual content; and embedding, by the computing device, the unique ID in the function words to produce an information-embedded textual content that enables retrieval of the copyright information from the blockchain based on the unique ID.