Tree Structure Information Management with Drag-and-Drop Editing
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Solution Overview
Problem
Creating parent-child relationships between components in a tree structure for information management is challenging without specialized knowledge, and existing technologies do not facilitate easy editing or connection of these relationships.
Innovation Solution
An information management apparatus with a processor that associates components, including questions and answers, using parent-child relationships, allowing users to easily create and modify these relationships by selecting and connecting components within a tree structure, and changing their parent-child relationships based on user operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a topic map or semantic network model is used to express information structure, then data searchability and classification capability are improved, but the complexity of creating and maintaining the map increases significantly
Solution Approach 1:
The system allows users to create and maintain topic maps themselves through intuitive drag-and-drop operations, eliminating the need for specialized knowledge. Users can independently build, edit, and manage their own information structures without requiring expert assistance in creating semantic networks or topic maps.
Solution Approach 2:
The patent introduces an intermediary interface (the tree structure display and drag-and-drop mechanism) that mediates between the user and the complex underlying data model. This intermediary simplifies the interaction by providing visual feedback and intuitive controls, hiding the complexity of the topic map creation process while maintaining its full functionality.
2Stability of the object's composition
If parent-child relationships are manually defined in a tree structure, then data organization capability is improved, but the ease of operation deteriorates due to requiring specialized knowledge
Solution Approach 1:
Users can directly manipulate the tree structure through drag-and-drop operations to define parent-child relationships themselves. The system provides visual indicators showing the resulting relationships, allowing users to understand and verify the data organization as they create it, without needing specialized knowledge of hierarchical data structures.
Solution Approach 2:
The patent uses visual feedback mechanisms including color changes and visual indicators to show parent-child relationships as users drag and drop components. This visual representation makes the abstract concept of hierarchical relationships concrete and intuitive, allowing users to easily understand and modify data organization without specialized knowledge.
3Adaptability or versatility
If multiple tree structures are managed separately, then structural independence is improved, but data management efficiency deteriorates due to inconsistencies
Solution Approach 1:
The patent combines multiple tree structures into a single unified interface where they can coexist and be managed together. Users can switch between different tree structures and perform operations across them using the same drag-and-drop mechanism, maintaining structural independence while achieving consistent management practices across all structures.
Data Source
AI summary
An information management apparatus includes a processor configured to associate components including questions and answers to the questions using parent-child relationships and control a display of the components as a tree structure, receive a selection of a subset of components in the tree structure according to a user operation and also connect the selected subset of components to the tree structure, and change the parent-child relationships of the components according to the connection of the components.