Document File Management with User-Attribute Language Rules
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Solution Overview
Problem
Existing text recognition technologies fail to correct text data considering user attributes such as organization or department, leading to inefficiencies in document management.
Innovation Solution
A document file management system that includes a communication interface, storage device with language rules, and a processor to generate queries for correcting text data based on user attributes using a computer model, ensuring accurate text correction and storage according to user attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing OCR text correction technology is used, then text recognition errors can be corrected, but the correction does not consider user attributes such as organization or department, reducing convenience and adaptability
Solution Approach 1:
The system applies different correction strategies based on user attributes (organization, department). The processor selects appropriate language rules from reference data specific to each user's attributes, enabling localized correction quality tailored to individual user contexts rather than applying uniform correction across all users.
Solution Approach 2:
The system changes the correction parameters by selecting different language rules based on user attributes. The processor modifies the correction behavior dynamically according to the user's organization and department, allowing the same OCR system to adapt its correction methodology to different user contexts.
2Adaptability or versatility
If uniform text correction is applied to all users, then the system is simple to operate, but it cannot accommodate different user attributes and organizational contexts
Solution Approach 1:
The system performs preliminary action by pre-storing language rules in reference data before actual text correction occurs. The processor retrieves appropriate language rules from this pre-organized reference data based on user attributes, avoiding the need for complex real-time decision-making during correction while still achieving adaptability.
Solution Approach 2:
The system introduces an intermediary mechanism (the processor that selects language rules from reference data) between the uniform correction system and user-specific requirements. This intermediary layer enables adaptability to user attributes without requiring fundamental changes to the core correction system architecture.
3Reliability
If manual text correction by humans is required, then accuracy can be maintained, but time consumption increases and productivity decreases
Solution Approach 1:
The system enables self-service correction where the OCR system automatically corrects text errors using AI models and language rules without requiring human intervention. The processor automatically selects appropriate language rules and applies corrections based on user attributes, making the system self-correcting and eliminating the need for manual verification while maintaining high accuracy.
Data Source
AI summary
A document file management apparatus includes a communication interface, a storage device that stores reference data containing language rules associated with user attributes, and a processor configured to control the communication interface to receive, from a terminal device, a document file including text data and a user attribute of a user of the terminal device, read a language rule corresponding to the received user attribute from the reference data, generate a query including an instruction to correct text included in the text data based on the read language rule, input the text data and the generated query to a computer model, which generates in response thereto corrected text according to the instruction in the query, and output and store the corrected text in the storage device as a new document file.