Volumetric Data Addressing in a Multi-Dimensional SoftSpace
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Solution Overview
Problem
Current technologies lack a unified method to consolidate diverse data sources into a tactile, immersive social environment that connects user data and relationships across disparate applications, platforms, and technologies.
Innovation Solution
A virtual universal container, or 'SoftSpace', integrates data from various sources into a three-dimensional model using an immersive corollary database, enabling one-to-one connections between objects and meta-data, with a vector-based addressing system and multiple software engines to manage and secure user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is consolidated into a unified tactile graphical interface, then user data connectivity and relationship visualization improve, but system complexity increases
Solution Approach 1:
The system segments data into discrete objects with unique identifiers and organizes them in a hierarchical structure with containers, nodes, and relationships. This segmentation allows complex data to be managed through modular components rather than monolithic structures, resolving the contradiction by making complexity manageable through division.
Solution Approach 2:
The patent introduces multi-dimensional spatial organization for data objects, allowing data to be arranged and accessed across multiple dimensions beyond traditional linear file systems. This dimensional expansion enables better data connectivity and visualization while maintaining systematic organization, thus improving adaptability without proportionally increasing complexity.
2Ease of operation
If a single point-of-entry is created to access all information, then user access convenience improves, but system architecture complexity increases
Solution Approach 1:
The system creates a universal interface that can access and manipulate diverse data types through common operations and protocols. The unified tactile graphical interface serves multiple functions - data visualization, manipulation, and access - through a single consistent interaction model, improving ease of operation while managing architecture complexity through standardized multi-functional design.
Solution Approach 2:
The patent introduces an intermediary layer between the user interface and underlying data structures, consisting of object models, containers, and relationship managers. This intermediary abstraction layer simplifies user access while isolating the complexity of data management operations, thus improving ease of operation without exposing architecture complexity to the user.
3Adaptability or versatility
If virtual representations of data are allowed to move infinitely, then data visualization flexibility improves, but system resource requirements increase
Solution Approach 1:
The system implements nested containers that can hold and organize data objects hierarchically. This nesting structure allows virtual representations to be organized in scalable groups and containers, providing visualization flexibility while efficiently managing system resources through hierarchical organization rather than flat infinite expansion.
Solution Approach 2:
The patent implements dynamic containers with configurable properties that can adapt their behavior and resource requirements based on content and usage. Containers can dynamically adjust their structure, capacity, and organization based on the data they hold, providing visualization flexibility while optimizing resource utilization through adaptive rather than static resource allocation.
Data Source
AI summary
A method for the visualization and addressing of data within a volumetric container, using XYZ coordinates represented as a vector. Whereas users build their own immersive experience, variants, and/or representations of their respective data as polygons nested within a virtual universe. This includes variants such as time, space, velocity and trajectory as they relate to data containers, and the tracking of each user's multi-dimensional representations. This method also creates permanent threaded connections between web data, social communities and data retrieved from any other source, to a structured polygon based correlation library.