Sentence Data Management System for Regulatory Compliance
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Solution Overview
Problem
Current data management methods in hybrid clouds face challenges in effectively associating document data with regulations, particularly for technical and confidential information, leading to potential legal violations during data transmission due to deviations in terminology and lack of consideration for hierarchical structures and reference relationships in laws.
Innovation Solution
A sentence data management method and system that converts term strings in regulation documents and outbound-transmitted documents into common terms for comparison, using term conversion dictionaries to align vocabulary differences and assess potential regulatory violations before transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If direct text pattern detection is used for data classification, then detection simplicity is improved, but compliance accuracy deteriorates due to terminology deviations between documents and regulations
Solution Approach 1:
The patent introduces a term conversion dictionary as an intermediary component that maps terms from the document to standardized regulation terms. This mediator resolves the terminology mismatch between documents and regulations, enabling accurate compliance detection without requiring complex direct pattern matching.
Solution Approach 2:
The patent changes the parameter of term representation by converting diverse terms in documents to standardized terms defined in the regulation. This parameter transformation enables consistent comparison between document content and regulatory requirements, improving compliance accuracy while maintaining operational simplicity.
2Measurement precision
If term conversion and comparison is performed for all documents, then compliance detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary action by pre-building the term conversion dictionary and pre-identifying key terms before actual compliance checking. This preparation enables fast lookup during document processing, achieving high accuracy without significant time penalty during the actual compliance detection phase.
Solution Approach 2:
The patent extracts only the essential terms from documents for compliance checking, rather than processing the entire document content. By identifying and converting only key terms that match regulation vocabulary, the system achieves accurate compliance detection with reduced processing time.
3Measurement precision
If hierarchical structure and reference relationships of laws are considered, then association accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the legal hierarchy into discrete term levels and reference relationships that can be independently processed. By breaking down the complex hierarchical structure into manageable segments, the system can accurately associate documents with regulations while maintaining reasonable system complexity through structured data organization.
Data Source
AI summary
To provide a sentence data management method and a sentence data management system in which sentence data and a provision of a regulation are associated and a risk of legal violation associated with outbound transmission of the sentence data is reduced. A sentence data management system includes a processor configured to convert a word string of a first document described using a first term into a word string described using a third term; convert a word string of an outbound-transmitted second document described using a second term into a word string described using the third term; compare the first document and the second document by using a comparison result between the word string and the word string as a comparison result between the word string and the word string; and check a possibility of violation to the regulation in outbound transmission to determine the outbound transmission of the second document.