Graph Carrier Document Optimization for Multi-File Information Merging
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Solution Overview
Problem
Existing methods for information collection and organization across multiple file types are time-consuming, labor-intensive, and prone to omissions, lacking a one-stop solution for merging and optimizing content in mind maps, flowcharts, or PPT presentations.
Innovation Solution
A method and apparatus that acquire user-selected files, determine the drop position relative to a file upload hot zone in a graph carrier document, and optimize the document based on this position, utilizing a large language model to generate an optimized graph carrier document.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually organize files by reading, deduplicating, and merging information, then information can be organized, but the process is extremely time-consuming and labor-intensive
Solution Approach 1:
The system enables self-service by automatically reading, analyzing, deduplicating, and merging information from multiple files without requiring user intervention. The apparatus autonomously performs the entire information organization process, from acquiring files to generating the optimized graph carrier document, thereby eliminating manual labor while ensuring comprehensive information organization.
Solution Approach 2:
The patent replaces the mechanical manual process of reading and organizing files with an automated computer-based system. The apparatus uses software to acquire files, extract information, analyze relationships between elements, and generate optimized documents, substituting human manual operations with automated computational processes that are both faster and more reliable.
2Loss of information
If users manually deduplicate and merge information from different files, then information consolidation is achieved, but the process is labor-intensive and easily leads to information omissions
Solution Approach 1:
The system performs self-service by automatically acquiring information from multiple files, analyzing element relationships, identifying duplicates, and merging content without user intervention. This automated approach ensures no information is omitted while eliminating the labor-intensive nature of manual processing.
Solution Approach 2:
The apparatus implements feedback mechanisms by continuously monitoring the information extraction and merging process. It analyzes relationships between elements and the whole, automatically adjusts the merging strategy to prevent omissions, and validates the consolidated information before generating the final graph carrier document, thereby ensuring completeness while maintaining ease of operation.
3Loss of information
If users manually analyze relationships between different elements and between elements and the whole, then information relationships are understood, but the process is extremely time-consuming
Solution Approach 1:
The patent replaces manual relationship analysis with automated computational methods. The apparatus uses software to analyze relationships between different elements and between elements and the whole, processing information at speeds impossible for human users while maintaining comprehensive understanding of information relationships.
Solution Approach 2:
The system performs self-service by autonomously analyzing information relationships without requiring user intervention. It automatically identifies relationships between elements, understands their contextual connections, and integrates this understanding into the optimized graph carrier document, achieving comprehensive relationship analysis instantaneously.
4Productivity
If a one-stop solution for merging and optimizing content is implemented, then information processing efficiency is improved, but device complexity increases
Solution Approach 1:
The apparatus achieves universality by designing a multi-functional system that can handle multiple file types (Word, Excel, PDF, PPT, TXT), perform various operations (acquisition, analysis, deduplication, merging, optimization), and generate different output formats. This consolidated multi-functional design improves information processing speed while managing complexity through integration rather than separate components.
Solution Approach 2:
The patent applies merging by combining multiple functions into a single integrated apparatus. Instead of separate tools for file acquisition, analysis, deduplication, merging, and optimization, the system consolidates these functions into one unified device, improving productivity while controlling complexity through functional integration.
Data Source
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AI summary
The present disclosure relates to the technical field of artificial intelligence, specifically the technical fields such as natural language processing, computer vision and deep learning. Provided are an information generation method and apparatus. The specific implementation solution comprises: acquiring a selected file obtained after a user has selected at least one type of file; in response to detecting that there is a graph carrier document on a current display interface, acquiring operation information of the user on the selected file in real time; on the basis of the operation information, determining a falling position of the selected file relative to a file upload hotspot, wherein the file upload hotspot is an area where the graph carrier document is displayed; and on the basis of the falling position and the selected file, optimizing the graph carrier document to obtain an optimized graph carrier document. The embodiment improves user experience.