File Management Device Automated Tagging Rule Updates
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Solution Overview
Problem
Current file management systems lack effective mechanisms to promote the use of tags for classifying and managing data files, particularly in automating the tagging process and updating rules based on file features.
Innovation Solution
A file management device and method that includes a rule storage unit associating file features with tags, a tag providing unit that suggests tags based on these rules, and a rule display unit that shows and updates the rules, allowing for user interaction and customization, with features like common feature extraction and automatic rule updating based on user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tags are manually assigned to data files for classification, then classification accuracy can be maintained, but user workload and time consumption increase significantly
Solution Approach 1:
The system enables self-service tagging by automatically analyzing data file features (such as file content, metadata, and characteristics) and assigning appropriate tags without requiring manual user intervention. The tag providing unit extracts features from data files and automatically matches them with predefined provision rules to generate and assign tags autonomously, significantly reducing user workload while maintaining classification accuracy through rule-based automated decision-making
Solution Approach 2:
The system implements feedback mechanisms where users can review automatically assigned tags and provide corrections or modifications. The rule display unit presents provision rules to users, allowing them to verify and adjust the automated tagging logic. This feedback loop enables the system to learn from user corrections and improve its automated tagging accuracy over time, resolving the contradiction between automation and precision
2Stability of the object's composition
If tagging rules are fixed and pre-defined, then system stability is maintained, but the system cannot adapt to new file types or changing classification requirements
Solution Approach 1:
The system transforms static, fixed tagging rules into dynamic, adaptable rules. The rule updating unit automatically updates provision rules based on newly acquired data files and user feedback, allowing the system to adapt to new file types and changing classification requirements. The rules evolve over time while maintaining stability through structured update mechanisms that preserve core classification logic while incorporating new patterns
Solution Approach 2:
The system performs preliminary actions by pre-defining provision rules with common file features and tags before actual tagging operations. These preliminary rules provide a stable foundation for automated tagging. When new file types or requirements emerge, the system updates these preliminary rules in advance, ensuring both stability during normal operation and adaptability when changes are needed
3Speed
If automatic tag providing is implemented without rule transparency, then processing speed increases, but user trust and understanding of the classification system decrease
Solution Approach 1:
The rule display unit serves as an intermediary between the automated tag providing system and the user. It displays the provision rules that govern automatic tag assignment, making the classification logic transparent and understandable. This intermediary function maintains processing speed by keeping the actual tagging operation automated while providing rule visibility to build user trust and understanding
Data Source
AI summary
A file management device comprising a memory; and a processor coupled to the memory and the processor configured to stores a feature included in a data file and a tag provided to the data file in association with each other as a provision rule, adds a tag to a newly input data file based on the stored provision rule, and displays the stored provision rule. The processor is further configured to displays the provision rule in an editable state by using a character string.