Democratic Information Classification System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing platforms for managing and retrieving information elements, such as media items, face difficulties in classification due to variability in tagging schemes, language issues, and lack of hierarchical organization, making search and organization time-consuming and inefficient.
Innovation Solution
A computer-based method that employs a democratic process to classify and retrieve information elements, allowing users to decide on categories and their hierarchies, using centrally stored thesauri and dictionaries for translation and synonym management, enabling efficient filtering and statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are allowed to edit and add tags locally, then classification precision is improved, but loss of information occurs because other users cannot access the additional information
Solution Approach 1:
The patent merges local user tagging systems with a centralized server system. Users can add and edit tags locally, and these changes are then synchronized to the central server, making the improved classifications available to all users. This combining of distributed user intelligence with centralized storage resolves the information loss problem while preserving classification precision improvements.
Solution Approach 2:
The system implements feedback mechanisms where user tagging actions are communicated back to the central server and other users. When a user improves a classification locally, this feedback is transmitted to the server, which then updates the master classification scheme, allowing all users to benefit from the improved precision without information loss.
2Device complexity
If a fixed hierarchical classification scheme is used, then device complexity is reduced, but adaptability deteriorates because users cannot create new categories
Solution Approach 1:
The patent implements a dynamic classification scheme where the hierarchical structure can evolve over time. Users can propose new categories and modify existing ones, and these changes are integrated into the system through democratic processes. This dynamic approach maintains relatively simple system architecture while enabling flexible adaptation to new classification needs.
Solution Approach 2:
The system design allows the classification scheme to serve multiple functions: it provides a stable hierarchical structure for organization while simultaneously enabling user-driven evolution and customization. The same system infrastructure supports both the fixed hierarchical aspects and the flexible user-created categories, achieving multi-functionality.
3Adaptability or versatility
If democratic processes are used for classification decisions, then adaptability is improved, but productivity decreases due to time-consuming consensus building
Solution Approach 1:
The patent implements a democratic process that requires only a threshold level of agreement rather than full consensus. By requiring partial agreement (e.g., majority vote or supermajority) rather than unanimous consent, the system achieves sufficient adaptability while significantly reducing the time and effort required compared to complete consensus-building processes.
4Adaptability or versatility
If variability in tagging schemes is allowed, then adaptability is improved, but measurement precision deteriorates due to inconsistent classifications
Solution Approach 1:
The patent manages tagging variability by dynamically adjusting classification parameters and standards based on user contributions and consensus. The system allows flexibility in tagging approaches while maintaining precision through parameter adjustments such as requiring majority agreement for new tags, standardizing tag formats, and evolving classification criteria based on collective user input.
Data Source
AI summary
A method for displaying on a user's device display and selecting categorized information elements, comprising: grouping said information elements into one or several categories among one or several groups of categories, displaying said categories together with a list of information elements of said categories, making said information elements selectable, wherein the selection of one information element initiates a computer code to carry out a process with said information element, wherein said categories are based on a predefined dictionary thesaurus.