Document Object Positioning via Relationship Data
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Solution Overview
Problem
Generating desired display information for objects in document files is inefficient, requiring significant time and effort, especially when objects are rearranged or users are not accustomed to the process.
Innovation Solution
An information processing device and method that acquires relationship information between input objects and generates display information for second objects in a document file, including position information, based on this relationship, using a directed acyclic graph and reference data to optimize the display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of display information is used to generate document files, then accuracy of display information can be ensured, but time and effort required for generation increases significantly
Solution Approach 1:
The system automatically generates display information by having the document objects self-organize based on their intrinsic relationships. Objects automatically determine their own display positions and arrangements through the relationship information they contain, eliminating the need for manual input while maintaining accuracy.
Solution Approach 2:
Relationship information acts as an intermediary that conveys the intended display arrangement from objects to the document structure. This intermediary contains the necessary positioning and ordering data, allowing automatic generation of accurate display information without manual intervention.
2Productivity
If automatic generation of display information is implemented, then efficiency is improved, but complexity of the system increases
Solution Approach 1:
The system segments the display information generation task into individual relationship information elements embedded within each object. Rather than requiring a complex centralized system to calculate all positions, each object contributes its own relationship data, simplifying the overall system architecture while maintaining automatic generation capability.
Solution Approach 2:
The system uses reference data and templates to copy proven display arrangements. By storing relationship information from well-organized documents as reference data, the system can automatically replicate effective display patterns without requiring complex real-time calculations, thus improving efficiency while controlling complexity.
3Productivity
If relationship information is extracted from object positions in draft files, then rearrangement efficiency is improved, but loss of original formatting information may occur
Solution Approach 1:
The system performs preliminary extraction of relationship information from draft files before final document generation. By capturing the intended relationships and logical structure early in the draft stage, the system preserves the essential organizational information needed for efficient rearrangement while maintaining the ability to restore original formatting when needed.
Solution Approach 2:
The system extracts only the essential relationship information (ordering, grouping, and positional relationships) from draft files, separating this structural data from the formatting details. This selective extraction enables efficient rearrangement based on logical relationships while allowing formatting information to be preserved or reapplied independently.
Data Source
AI summary
An information processing device, including an acquiring unit that acquires relationship information indicating a relationship between a plurality of first objects indicated by symbols input by a user, and a file control unit that generates display information related to display of second objects including position information indicating positions of the second objects corresponding to the first objects in a document file on the basis of the relationship information.