Item Value Association Matrix for Integrated Student Data
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Solution Overview
Problem
Existing systems managing student information in facilities like universities struggle to integrate data from multiple sources, making it inconvenient to collectively refer to student information, and existing techniques face difficulties in associating item values for creating an integrated database.
Innovation Solution
A method for associating item values involves receiving and storing data files with key items and item values, integrating them based on common associations, and generating an integrated database by specifying associations through a matrix, allowing for easy association of item values between files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate systems manage student information individually, then each system can maintain its own data structure and management logic, but it becomes inconvenient to collectively refer to student information across systems
Solution Approach 1:
The patent merges multiple separate student information management systems into a single integrated database structure. By combining data from basic information management, lesson support, library systems, and other separate systems into one unified database, the patent enables collective reference to student information while preserving the functional independence of each source system through structured data integration.
Solution Approach 2:
The integrated database serves multiple functions simultaneously: it stores basic student information, lesson-related data, library records, and other student-related information in a single universal structure. This multi-functional database can be accessed by various systems and users, providing both system independence and ease of operation.
2Productivity
If an integrated database is created by manually associating item values from multiple systems, then data integration can be achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The patent applies preliminary action by pre-defining association rules and item value mappings before the actual data integration process. The system预先 establishes the relationships between items from different systems and their corresponding item values in the integrated database, so that when data is integrated, the associations are automatically applied without requiring complex manual configuration during the integration process.
Solution Approach 2:
The integrated database system performs self-service by automatically associating item values from multiple source systems based on pre-defined rules. The system autonomously handles the complex task of matching and integrating data from basic information management, lesson support, library systems, and other sources without requiring extensive manual intervention, thereby improving productivity while managing complexity.
3Reliability
If item values from multiple data files are integrated into an integrated database, then data consistency can be improved, but determining which value to store when conflicts occur becomes difficult
Solution Approach 1:
The patent applies parameter changes by introducing priority levels or selection criteria as new parameters for resolving value conflicts. When the same item value exists in multiple source data files, the system uses these additional parameters to automatically determine which value to store in the integrated database, thereby maintaining data consistency while managing the complexity of value selection through systematic parameter-based decision making.
Data Source
AI summary
An information processing device receives a plurality of data files that include a plurality of items having a key item and an item value associated therewith and stores a value that is a value of an item having been associated with a same key item value and having been associated with a second association destination item in common, and that is included in a data file specified by a predetermined rule from two or more data files among the data files, in association with the second association destination item, when a key item that is associated with a first association destination item in common is included in the two or more data files and an item that is associated with the second association destination item is included in the two or more data files.