Semantic Network Data Security Through Selective Component Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data storage and access systems are limited in scope, flexibility, and integration, requiring predefined schemas and prior knowledge of data architecture, and struggle with horizontal expansion across multiple tables.
Innovation Solution
A digital duplicate data structure utilizing a dynamic model with semantic networks that automatically form associations between data, allowing for efficient data ingestion, adaptation to organizational changes, and flexible data access without redesigning the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional data storage systems use predefined schemas and fixed relationships between data tables, then data storage structure is stable and manageable, but the system lacks flexibility and requires redesign when organizational changes occur
Solution Approach 1:
The patent implements dynamic entity relationships where associations between data tables are not fixed but can be modified at runtime. The system allows entities to dynamically create, modify, and delete relationships between data tables without requiring system redesign, enabling adaptation to organizational changes while maintaining manageable complexity through automated relationship management.
2Ease of operation
If conventional systems require users to have prior knowledge of data architecture to access desired outputs, then data access control is precise, but the ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary layer (the entity and dynamic relationship system) between users and the underlying data architecture. Users interact with entities and their relationships at a high level without needing to understand the complex data storage architecture beneath. The system automatically handles the translation between user-friendly entity operations and the underlying data structure, eliminating the need for users to have prior architecture knowledge while maintaining precise data access control.
3Adaptability or versatility
If data relationships are fixed in conventional systems, then data consistency is maintained, but the ability to integrate with other systems and expand horizontally is limited
Solution Approach 1:
The patent implements dynamic entity relationships that can adapt to integration requirements while maintaining data consistency through automated relationship management. The system allows entities to dynamically establish and modify relationships with external systems and multiple data tables, enabling horizontal expansion and system integration without sacrificing data consistency, as the dynamic relationships are managed through controlled operations that preserve integrity.
Data Source
AI summary
Disclosed herein is a process that involves receiving an indication of an instance of a semantic network, the semantic network comprising conceptual data components and associative data components, receiving a selection of one or more of the conceptual data components and associative data components of the instance of the semantic network, the selection comprising an indication to block the selected one or more conceptual data components and associative data components or selectively filter the selected one or more conceptual data components and associative data components, and presenting a visualization of the semantic network, the visualization being configured to exclude data related to the selected one or more conceptual data components and associative data components or include data related to the selected one or more conceptual data components and associative data components and exclude data not related to the selected one or more conceptual data components and associative data components.