Information Processing Apparatus for Text Dependency Visualization
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Solution Overview
Problem
Existing information processing systems lack an effective method to visually represent and manage dependency relations between text ranges in documents, making it difficult to understand and analyze the relationships between different text segments.
Innovation Solution
An information processing apparatus and method that displays a relation display screen showing text box images and relation images, using management information to control the display of text and relation screens, allowing users to set and visualize causal, identical, correlate, and inclusion relations between text ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text dependency relations are analyzed manually, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs automatic text range extraction and dependency relation analysis without requiring manual intervention. The processor automatically identifies text ranges, extracts their relationships, and generates the relation display screen, allowing the system to serve itself in analyzing document structures.
Solution Approach 2:
The patent replaces manual mechanical analysis with automated information processing. The processor uses algorithms to automatically detect text ranges and their dependencies, substituting human manual analysis with computational methods that are both faster and equally precise.
2Loss of information
If multiple text ranges and their relations are displayed together, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The display screen is segmented into multiple text box images, each representing a specific text range. The relations are further segmented into distinct relation images that connect the text boxes. This segmentation allows complex information to be presented in organized, manageable units that reduce visual complexity while maintaining information completeness.
Solution Approach 2:
The patent transitions from one-dimensional linear text display to two-dimensional spatial arrangement with graphical connections. Text ranges are positioned in space and connected via relation images, adding a visual dimension that clearly displays relationships without increasing textual or structural complexity.
3Productivity
If automatic text range extraction is implemented, then productivity is improved, but manufacturing precision worsens
Solution Approach 1:
The system incorporates user feedback mechanisms where users can correct or confirm automatically extracted text ranges and their relationships. This feedback loop allows the system to learn from user corrections and improve extraction accuracy while maintaining high productivity through automated initial processing.
Data Source
AI summary
According to an embodiment, an information processing apparatus includes one or more processors. The one or more processors display a relation display screen including text box images each indicating one of a plurality of text ranges included in a document and a relation image indicating a relation between the plurality of text ranges.