Data Registration Destination Selection Using Feature Amounts
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Solution Overview
Problem
Current data management systems lack efficiency in automatically selecting appropriate registration destinations for data within a network of management units, leading to increased operational complexity and reduced data organization efficiency.
Innovation Solution
An information processing apparatus and method that utilize circuitry to select suitable management units for data registration based on feature amounts of the data and existing data units, outputting candidates for registration destinations, thereby facilitating efficient data organization and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is manually organized and classified in folders based on operator discretion, then data organization efficiency is improved, but operational complexity and time consumption increase
Solution Approach 1:
The system enables automatic data classification by having the data itself provide features (such as text content, metadata, or patterns) that the classification system uses to autonomously determine appropriate folders, eliminating the need for manual operator intervention in the classification process
Solution Approach 2:
The patent replaces manual mechanical data classification operations with an automated information processing system that uses algorithms to analyze data features and automatically assign data to appropriate management units, substituting human decision-making with computational processes
2Loss of time
If automatic data classification is implemented, then time consumption is reduced, but device complexity increases
Solution Approach 1:
The system extracts relevant features from the data (such as text content, keywords, or metadata patterns) and uses only these extracted features for classification decisions, separating the classification function from the data storage and management functions to reduce overall system complexity
Solution Approach 2:
The classification system is segmented into independent modules that handle different aspects of data analysis and classification separately, allowing each module to be optimized independently and reducing the complexity of the overall system through modular architecture
3Measurement precision
If features of data and management units are used for selection, then registration destination accuracy is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses an intermediary feature extraction mechanism that automatically generates comparable features from data and management units, serving as a bridge between the raw data and the classification decision, thereby simplifying the measurement and comparison process while maintaining high accuracy
Data Source
AI summary
An information processing apparatus includes circuitry to select one or more of a plurality of management units as candidates for a registration destination in which first data is to be registered, based on a feature amount of the first data and feature amounts of data belonging to each of the plurality of management units, and output information indicating the candidates for the registration destination.