Atomic Information Objects for Networked Data Organization
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Solution Overview
Problem
Current data structure creation, organization, and searching methods over networked environments lack efficiency in utilizing basic atomic units of information, leading to complexities in scope definition, geographic handling, and user interaction.
Innovation Solution
The system defines 'Objects of Interest' (OIs) with associated Characteristics and Scopes, using geographic areas, languages, age ranges, and genders to create a structured data framework for efficient organization and searching, allowing users to define and manage OIs, listings, and user interactions within a networked environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional data structure methods are used for organizing information over networked environments, then data can be stored and accessed, but the system becomes complex in handling scope definition, geographic areas, and user interactions
Solution Approach 1:
The patent segments information into discrete 'Objects of Interest' (OIs) with standardized attributes including geographic area, language, age range, and gender. Each UI element is represented as a distinct OI with defined characteristics, breaking down complex data structures into manageable, standardized units that can be independently organized and searched
Solution Approach 2:
The patent creates a universal data structure framework where all UI elements across different applications are represented as OIs with common attributes. This multi-functional approach allows the same structural framework to handle diverse data types (geographic areas, languages, age ranges, genders) uniformly, reducing overall system complexity while maintaining versatility
2Productivity
If comprehensive data organization with multiple characteristics is implemented, then searching and filtering capabilities are enhanced, but the system requires more resources and processing power
Solution Approach 1:
The patent applies preliminary action by pre-organizing all UI elements into OIs with standardized characteristics during data ingestion. Geographic areas, languages, age ranges, and genders are assigned as structured attributes upfront, enabling efficient filtering and searching without requiring complex real-time processing of unstructured data
Solution Approach 2:
The patent transforms unstructured UI element data into structured OI representations with standardized parameters. By changing the state of data from unstructured to structured with defined attributes (geographic area, language, age range, gender), the system enables efficient searching and filtering while reducing processing overhead through consistent data formatting
3Productivity
If structured data framework with standardized attributes is used, then data organization becomes more efficient, but initial data processing and transformation require additional time
Solution Approach 1:
The patent segments the data transformation process into standardized attribute assignments for each OI. By dividing complex data into discrete characteristics (geographic area, language, age range, gender) that can be independently processed and assigned, the system reduces overall transformation time through parallel processing of standardized fields
Data Source
AI summary
A computer-implemented method for organizing data using basic atomic units of information includes generating an object of interest (OI) comprising an OI name and an OI description. The OI is a basic atomic unit of information. The OI comprises an audience and data associated with the OI is searchable. The method includes assigning one or more characteristics to the OI. The one or more characteristics of the OI are searchable. A first OI is linked with one or more second OIs having at least one overlapping audience or characteristic. The second OI is accessible by a link displayed in the first OI. The first OI is displayed in a visual format that is accessible to a plurality of users.