Data Management System Using Root Dataset Conversion
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Solution Overview
Problem
Current data storage and management systems face challenges with data integrity, security, privacy, and efficiency due to tight coupling between semantics and content, leading to limitations in data access, transmission, and storage, especially with the exponential growth of binary data.
Innovation Solution
A system that converts arbitrarily large datasets into shorter 'root datasets' using intermediary datasets and hash functions, with reference bits enabling identification of functions for reconstruction, and employs authentication systems for protection, allowing for secure and efficient data storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is stored in context and content heavy form with semantics embodied into payload, then data retrieval fidelity is improved, but data storage space and transmission bandwidth are increased
Solution Approach 1:
The patent segments data into distinct components: content elements and context metadata. By separating these elements, the system can store only essential content while retrieving context through algorithmic generation, reducing storage requirements while maintaining retrieval fidelity.
Solution Approach 2:
The patent extracts semantics from the data payload and stores them separately as metadata or uses algorithmic methods to regenerate context. This extraction allows the main data storage to contain only essential content, reducing storage space while preserving retrieval quality.
2Measurement precision
If data is stored in context and content heavy form with semantics embodied into payload, then data retrieval fidelity is improved, but data transmission bandwidth is increased
Solution Approach 1:
By segmenting data into content and context components, the system transmits only essential content over the network while generating context locally through algorithmic processes, thereby reducing transmission bandwidth requirements while maintaining retrieval fidelity.
Solution Approach 2:
The patent extracts context from the payload and either stores it separately or uses algorithmic methods to regenerate it at retrieval time. This extraction reduces the amount of data that needs to be transmitted across networks, conserving bandwidth while preserving data quality.
3Reliability
If tight coupling between semantics and content is maintained, then data integrity is preserved, but data access flexibility and location-agnostic access are limited
Solution Approach 1:
The patent segments the tight coupling of semantics and content by separating them into distinct data structures. This allows content to be accessed and manipulated independently while semantics are preserved through algorithmic generation or separate metadata storage, enhancing access flexibility without compromising integrity.
Solution Approach 2:
The patent introduces an intermediary layer (algorithmic context generation or separate metadata storage) that mediates between content and semantics. This intermediary allows flexible data access and manipulation while maintaining the integrity relationship through structured references or regenerative algorithms.
4Measurement precision
If data is stored in original binary form, then data representation fidelity is maintained, but storage space and ecological footprint are increased
Solution Approach 1:
The patent changes the representation parameters of data by converting binary data into more efficient formats, applying compression algorithms, and using algorithmic methods to represent data with fewer bits while maintaining essential fidelity and enabling sufficient reconstruction.
5Ease of manufacture
If conventional data storage systems are used, then implementation simplicity is maintained, but security vulnerability to breaches and lack of guaranteed content integrity exist
Solution Approach 1:
The patent applies preliminary actions by implementing authentication systems, encryption, and integrity verification mechanisms before data is stored or accessed. This preliminary security setup protects against breaches and ensures content integrity without significantly complicating the overall implementation.
Solution Approach 2:
The patent introduces intermediary security layers (authentication systems, encryption protocols, integrity verification mechanisms) that mediate between data storage and access operations. These intermediaries enhance security and reliability while maintaining relatively simple implementation through standardized protocols.
Data Source
AI summary
A system (100) for managing data is provided. The system includes at least one processor (102) configured to convert a source dataset (302) to a root dataset (312) by obtaining a plurality of intermediary datasets (306, 308). The root dataset (312) is shorter compared to the source dataset (302) and the intermediary datasets (306, 308) are intermediate to the source dataset (302) and the root dataset (312). At least one of the intermediary datasets comprises reference bits, wherein the reference bits enable identification of one or more functions that should be used to obtain a dataset from which the intermediary dataset comprising the reference bits was obtained in the process of converting the source dataset (302) and the root dataset (312).