Relational Data Storage Structure for Efficient Retrieval and Visualization
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Solution Overview
Problem
Current data processing methods fail to efficiently analyze, retrieve, and visualize information due to non-uniform and monotonous formats of lexical entries, leading to logical defects and lack of data integrity.
Innovation Solution
A storage structure comprising Class A, B, and C units for storing objects, relational modes, and relational states, along with an auxiliary unit for ensuring data integrity, allows for efficient retrieval and visualization by classifying objects and relational modes, and displaying information through a visualized interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If lexical entries are stored in traditional non-uniform formats, then data storage is simple, but data analysis and retrieval become difficult and visualization is monotonous
Solution Approach 1:
The patent segments data into three distinct units: Class A unit for storing objects, Class B unit for storing relational modes, and Class C unit for storing relational states. This segmentation transforms chaotic lexical entries into structured, uniformly formatted data that enables efficient analysis and retrieval while maintaining organizational simplicity.
Solution Approach 2:
The patent adds relational dimensions to traditional lexical entries by introducing relational modes (Class B) and relational states (Class C). This dimensional expansion transforms flat, monotonous data into multi-dimensional relational data structures that support sophisticated analysis, retrieval, and visualization capabilities.
2Reliability
If every object has only one independent lexical entry, then data storage is straightforward, but logical defects remain undiscovered and data integrity is lacking
Solution Approach 1:
The patent introduces Class B unit (relational modes) as an intermediary layer between objects (Class A) and their relationships (Class C). This intermediary structure enables the system to detect logical defects by analyzing relational patterns while maintaining data integrity through the auxiliary unit that ensures consistency across all relational states.
Solution Approach 2:
The storage structure provides universal functionality by handling multiple object types and relational modes within a unified framework. The auxiliary unit ensures data integrity across all operations, making the system reliable for diverse data processing tasks while managing complexity through standardized interfaces.
3Productivity
If data is stored in traditional formats, then storage implementation is simple, but retrieval efficiency is low
Solution Approach 1:
By segmenting data into Class A (objects), Class B (relational modes), and Class C (relational states), the patent enables targeted retrieval operations. Users can efficiently query specific relational modes or states without scanning entire datasets, significantly improving retrieval efficiency while maintaining clear organizational structure.
Solution Approach 2:
The patent applies local quality by allowing different classes to have specialized structures optimized for their specific functions. Class A optimizes for object storage, Class B for relational mode definitions, and Class C for state management, enabling efficient retrieval operations tailored to each data type while maintaining overall system coherence.
Data Source
AI summary
A storage structure for data containing relational objects, as well as methods for retrieval and visualized display of data so stored are capable of recording relations among all objects in any scenario, as well as new relational states caused by changes and corresponding events happening in succession. The storage structure uses uniform formats to process information into logical and relational data, thereby contributing to subsequent characteristic analysis, supporting retrieval by objects and designated relational modes, and providing accurate display of information and its variations through versatile, visualized way.